In the past, scientists derived drugs from natural products or were inspired by traditional remedies. Drugs were put into clinical use decades before the biological mechanisms driving their pharmacological activities were understood. With the advent of more powerful technologies, today, drug discovery has changed from the serendipitous approaches of the past to a more targeted model based on an understanding of the underlying biological mechanism of a disease.
In this new framework, scientists seek to identify the mechanism of action of new drugs, which usually includes mention of the specific molecular targets to which the drug binds, such as an enzyme or receptor. By knowing the interaction between a certain site of a drug and a receptor, other drugs can be formulated in a way that replicates this interaction, thus producing the same therapeutic effects. This method is used to create new drugs.
One approach is to treat a sample of human cells with the drug and then analyze the cellular responses with algorithms that search for similarity to known patterns in large genomic databases, such as libraries of gene expression or cell viability patterns of drugs with known MoAs (e.g. Connectivity Map and DepMap).
In this project, I build a model from the train set to automatically labels each case in the test set as one or more MoA classes, which is a multi-label classification problem. I evaluate the model based on the average value of the logarithmic loss function applied to each drug-MoA annotation pair in the test set. Details of datasets will be provided below.
There are several databases that are available in providing a unique dataset that combines gene expression and cell viability data. CMAP and LINCS are the two that were most used in previous research.
However, both CMAP and LINCS required each cell type to be profiled separatel and previous efforts have largely focused on studying responses in a small number of cell line contes. But perturbation responses areoften context-specific, reflecting their interaction with the cell’s underlying genomic or functional features. For example, targeted drugs may elicit responses only in cell lines harboring particular oncogenic mutations or expressing certain genes, making observed results specific to the particular cell line models chosen. 1.&hl=zh-CN&as_sdt=0&as_vis=1&oi=scholart)
In 2020, a new approach to present gene expression signatures across multiple cell lines in parallel is developed as MIX-Seq. MIX-Seq combines:
the ability to pool hundreds of cancer cell lines and co-treat them with one or more perturbations;
the power of scRNA-seq to simultaneously profile the cells’ responses and resolve the identity of each cell based on single-nucleotide polymorphism (SNP) profiles.
The profile of each perturbation (specified by drug, time, dose and control type) is created by measuring simultaneously (within the same samples) human cells’ responses to drugs in a pool of more than 100 different cell types, which tackled profiling the responses of many diverse cell lines to a given perturbation and thus assessed context-specific effects.
Following the instruction provided by the MOA prediction task on one kaggle competition, I access DepMap and get the PRISM Repurposing 19Q3 Primary Screen dataset and try to understand how datasets in this competition comes. The primary PRISM Repurposing dataset contains the results of pooled-cell line chemical-perturbation viability screens for 4,518 existing drugs screened against 578 cancer cell lines.
import pandas as pd
import plotly.express as px
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
import torch
import random
from sklearn.model_selection import train_test_split
import os
from sklearn.preprocessing import QuantileTransformer
from sklearn import preprocessing
from sklearn.decomposition import PCA
import pickle
from math import *
import seaborn as sns
drug_original = pd.read_csv('primary-screen-replicate-collapsed-logfold-change.csv')
drug_original.head()
| Unnamed: 0 | BRD-A00077618-236-07-6::2.5::HTS | BRD-A00100033-001-08-9::2.5::HTS | BRD-A00147595-001-01-5::2.5::HTS | BRD-A00218260-001-03-4::2.5::HTS | BRD-A00376169-001-01-6::2.5::HTS | BRD-A00520476-001-07-4::2.5::HTS | BRD-A00546892-001-02-6::2.5::HTS | BRD-A00578795-001-04-3::2.5::HTS | BRD-A00758722-001-04-9::2.5::HTS | ... | BRD-K98557884-001-01-6::2.5::MTS004 | BRD-K99077012-001-01-9::2.332734192::MTS004 | BRD-K99199077-001-16-1::2.603211317::MTS004 | BRD-K99431849-001-01-7::2.500018158::MTS004 | BRD-K99447003-335-04-1::2.37737659::MTS004 | BRD-K99506538-001-03-8::2.5::MTS004 | BRD-K99616396-001-05-1::2.499991421::MTS004 | BRD-K99879819-001-02-1::2.5187366::MTS004 | BRD-K99919177-001-01-3::2.5::MTS004 | BRD-M63173034-001-03-6::2.64076472::MTS004 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | ACH-000001 | -0.015577 | -0.449332 | 0.489379 | 0.206675 | 0.272730 | 0.021036 | -0.025460 | 0.467158 | -0.736306 | ... | 0.429238 | 0.204841 | 0.150055 | -0.575404 | -0.101247 | 0.399233 | -0.127658 | -0.141651 | -1.153652 | 0.510464 |
| 1 | ACH-000007 | -0.095730 | 0.257943 | 0.772349 | -0.438502 | -0.732832 | 0.779201 | 0.426523 | -1.288508 | -0.476133 | ... | -0.471486 | 0.212998 | -0.123230 | 0.625527 | 0.383198 | 0.212031 | 0.349225 | -0.387439 | -0.831461 | 0.323558 |
| 2 | ACH-000008 | 0.379480 | -0.596132 | 0.548056 | 0.422269 | -0.216986 | 0.081866 | 0.145335 | -0.570841 | -0.512119 | ... | -0.111951 | 0.534787 | 0.206642 | -0.410153 | -0.560722 | -0.036088 | 0.158071 | 0.171043 | -3.947090 | 0.099310 |
| 3 | ACH-000010_FAILED_STR | 0.118890 | -0.231615 | 0.621937 | -0.202707 | -1.005139 | -0.213739 | 0.020246 | -0.795278 | NaN | ... | 0.200605 | -0.075356 | 0.610310 | -0.019413 | -0.202971 | 0.218158 | -0.411009 | -0.181540 | -3.010225 | 0.090652 |
| 4 | ACH-000011 | 0.145346 | -0.499274 | 0.267470 | 0.157804 | -0.272286 | 0.207768 | 0.004464 | -0.191680 | -0.310375 | ... | -0.076863 | 0.026002 | 0.139921 | -0.261704 | 0.085339 | 0.447482 | 0.164620 | -0.565251 | -4.110627 | 0.222394 |
5 rows × 4687 columns
For each perturbation (specified by a sig_id, used to querey the known MOA notation from Dr. Insight package in R, I randomly select 100 out of 578 cancer cell lines c0-c99 and took out the most correlated differentially expressed genes (setting a p-value threshold at 0.05) g0-g771. This is a unique dataset that combines gene expression and cell viability data. Then I split thwm into training features set and testing features set.
pd.options.display.max_columns = None
train_features = pd.read_csv('train_features.csv')
train_features.head()
| sig_id | cp_type | cp_time | cp_dose | g-0 | g-1 | g-2 | g-3 | g-4 | g-5 | g-6 | g-7 | g-8 | g-9 | g-10 | g-11 | g-12 | g-13 | g-14 | g-15 | g-16 | g-17 | g-18 | g-19 | g-20 | g-21 | g-22 | g-23 | g-24 | g-25 | g-26 | g-27 | g-28 | g-29 | g-30 | g-31 | g-32 | g-33 | g-34 | g-35 | g-36 | g-37 | g-38 | g-39 | g-40 | g-41 | g-42 | g-43 | g-44 | g-45 | g-46 | g-47 | g-48 | g-49 | g-50 | g-51 | g-52 | g-53 | g-54 | g-55 | g-56 | g-57 | g-58 | g-59 | g-60 | g-61 | g-62 | g-63 | g-64 | g-65 | g-66 | g-67 | g-68 | g-69 | g-70 | g-71 | g-72 | g-73 | g-74 | g-75 | g-76 | g-77 | g-78 | g-79 | g-80 | g-81 | g-82 | g-83 | g-84 | g-85 | g-86 | g-87 | g-88 | g-89 | g-90 | g-91 | g-92 | g-93 | g-94 | g-95 | g-96 | g-97 | g-98 | g-99 | g-100 | g-101 | g-102 | g-103 | g-104 | g-105 | g-106 | g-107 | g-108 | g-109 | g-110 | g-111 | g-112 | g-113 | g-114 | g-115 | g-116 | g-117 | g-118 | g-119 | g-120 | g-121 | g-122 | g-123 | g-124 | g-125 | g-126 | g-127 | g-128 | g-129 | g-130 | g-131 | g-132 | g-133 | g-134 | g-135 | g-136 | g-137 | g-138 | g-139 | g-140 | g-141 | g-142 | g-143 | g-144 | g-145 | g-146 | g-147 | g-148 | g-149 | g-150 | g-151 | g-152 | g-153 | g-154 | g-155 | g-156 | g-157 | g-158 | g-159 | g-160 | g-161 | g-162 | g-163 | g-164 | g-165 | g-166 | g-167 | g-168 | g-169 | g-170 | g-171 | g-172 | g-173 | g-174 | g-175 | g-176 | g-177 | g-178 | g-179 | g-180 | g-181 | g-182 | g-183 | g-184 | g-185 | g-186 | g-187 | g-188 | g-189 | g-190 | g-191 | g-192 | g-193 | g-194 | g-195 | g-196 | g-197 | g-198 | g-199 | g-200 | g-201 | g-202 | g-203 | g-204 | g-205 | g-206 | g-207 | g-208 | g-209 | g-210 | g-211 | g-212 | g-213 | g-214 | g-215 | g-216 | g-217 | g-218 | g-219 | g-220 | g-221 | g-222 | g-223 | g-224 | g-225 | g-226 | g-227 | g-228 | g-229 | g-230 | g-231 | g-232 | g-233 | g-234 | g-235 | g-236 | g-237 | g-238 | g-239 | g-240 | g-241 | g-242 | g-243 | g-244 | g-245 | g-246 | g-247 | g-248 | g-249 | g-250 | g-251 | g-252 | g-253 | g-254 | g-255 | g-256 | g-257 | g-258 | g-259 | g-260 | g-261 | g-262 | g-263 | g-264 | g-265 | g-266 | g-267 | g-268 | g-269 | g-270 | g-271 | g-272 | g-273 | g-274 | g-275 | g-276 | g-277 | g-278 | g-279 | g-280 | g-281 | g-282 | g-283 | g-284 | g-285 | g-286 | g-287 | g-288 | g-289 | g-290 | g-291 | g-292 | g-293 | g-294 | g-295 | g-296 | g-297 | g-298 | g-299 | g-300 | g-301 | g-302 | g-303 | g-304 | g-305 | g-306 | g-307 | g-308 | g-309 | g-310 | g-311 | g-312 | g-313 | g-314 | g-315 | g-316 | g-317 | g-318 | g-319 | g-320 | g-321 | g-322 | g-323 | g-324 | g-325 | g-326 | g-327 | g-328 | g-329 | g-330 | g-331 | g-332 | g-333 | g-334 | g-335 | g-336 | g-337 | g-338 | g-339 | g-340 | g-341 | g-342 | g-343 | g-344 | g-345 | g-346 | g-347 | g-348 | g-349 | g-350 | g-351 | g-352 | g-353 | g-354 | g-355 | g-356 | g-357 | g-358 | g-359 | g-360 | g-361 | g-362 | g-363 | g-364 | g-365 | g-366 | g-367 | g-368 | g-369 | g-370 | g-371 | g-372 | g-373 | g-374 | g-375 | g-376 | g-377 | g-378 | g-379 | g-380 | g-381 | g-382 | g-383 | g-384 | g-385 | g-386 | g-387 | g-388 | g-389 | g-390 | g-391 | g-392 | g-393 | g-394 | g-395 | g-396 | g-397 | g-398 | g-399 | g-400 | g-401 | g-402 | g-403 | g-404 | g-405 | g-406 | g-407 | g-408 | g-409 | g-410 | g-411 | g-412 | g-413 | g-414 | g-415 | g-416 | g-417 | g-418 | g-419 | g-420 | g-421 | g-422 | g-423 | g-424 | g-425 | g-426 | g-427 | g-428 | g-429 | g-430 | g-431 | g-432 | g-433 | g-434 | g-435 | g-436 | g-437 | g-438 | g-439 | g-440 | g-441 | g-442 | g-443 | g-444 | g-445 | g-446 | g-447 | g-448 | g-449 | g-450 | g-451 | g-452 | g-453 | g-454 | g-455 | g-456 | g-457 | g-458 | g-459 | g-460 | g-461 | g-462 | g-463 | g-464 | g-465 | g-466 | g-467 | g-468 | g-469 | g-470 | g-471 | g-472 | g-473 | g-474 | g-475 | g-476 | g-477 | g-478 | g-479 | g-480 | g-481 | g-482 | g-483 | g-484 | g-485 | g-486 | g-487 | g-488 | g-489 | g-490 | g-491 | g-492 | g-493 | g-494 | g-495 | g-496 | g-497 | g-498 | g-499 | g-500 | g-501 | g-502 | g-503 | g-504 | g-505 | g-506 | g-507 | g-508 | g-509 | g-510 | g-511 | g-512 | g-513 | g-514 | g-515 | g-516 | g-517 | g-518 | g-519 | g-520 | g-521 | g-522 | g-523 | g-524 | g-525 | g-526 | g-527 | g-528 | g-529 | g-530 | g-531 | g-532 | g-533 | g-534 | g-535 | g-536 | g-537 | g-538 | g-539 | g-540 | g-541 | g-542 | g-543 | g-544 | g-545 | g-546 | g-547 | g-548 | g-549 | g-550 | g-551 | g-552 | g-553 | g-554 | g-555 | g-556 | g-557 | g-558 | g-559 | g-560 | g-561 | g-562 | g-563 | g-564 | g-565 | g-566 | g-567 | g-568 | g-569 | g-570 | g-571 | g-572 | g-573 | g-574 | g-575 | g-576 | g-577 | g-578 | g-579 | g-580 | g-581 | g-582 | g-583 | g-584 | g-585 | g-586 | g-587 | g-588 | g-589 | g-590 | g-591 | g-592 | g-593 | g-594 | g-595 | g-596 | g-597 | g-598 | g-599 | g-600 | g-601 | g-602 | g-603 | g-604 | g-605 | g-606 | g-607 | g-608 | g-609 | g-610 | g-611 | g-612 | g-613 | g-614 | g-615 | g-616 | g-617 | g-618 | g-619 | g-620 | g-621 | g-622 | g-623 | g-624 | g-625 | g-626 | g-627 | g-628 | g-629 | g-630 | g-631 | g-632 | g-633 | g-634 | g-635 | g-636 | g-637 | g-638 | g-639 | g-640 | g-641 | g-642 | g-643 | g-644 | g-645 | g-646 | g-647 | g-648 | g-649 | g-650 | g-651 | g-652 | g-653 | g-654 | g-655 | g-656 | g-657 | g-658 | g-659 | g-660 | g-661 | g-662 | g-663 | g-664 | g-665 | g-666 | g-667 | g-668 | g-669 | g-670 | g-671 | g-672 | g-673 | g-674 | g-675 | g-676 | g-677 | g-678 | g-679 | g-680 | g-681 | g-682 | g-683 | g-684 | g-685 | g-686 | g-687 | g-688 | g-689 | g-690 | g-691 | g-692 | g-693 | g-694 | g-695 | g-696 | g-697 | g-698 | g-699 | g-700 | g-701 | g-702 | g-703 | g-704 | g-705 | g-706 | g-707 | g-708 | g-709 | g-710 | g-711 | g-712 | g-713 | g-714 | g-715 | g-716 | g-717 | g-718 | g-719 | g-720 | g-721 | g-722 | g-723 | g-724 | g-725 | g-726 | g-727 | g-728 | g-729 | g-730 | g-731 | g-732 | g-733 | g-734 | g-735 | g-736 | g-737 | g-738 | g-739 | g-740 | g-741 | g-742 | g-743 | g-744 | g-745 | g-746 | g-747 | g-748 | g-749 | g-750 | g-751 | g-752 | g-753 | g-754 | g-755 | g-756 | g-757 | g-758 | g-759 | g-760 | g-761 | g-762 | g-763 | g-764 | g-765 | g-766 | g-767 | g-768 | g-769 | g-770 | g-771 | c-0 | c-1 | c-2 | c-3 | c-4 | c-5 | c-6 | c-7 | c-8 | c-9 | c-10 | c-11 | c-12 | c-13 | c-14 | c-15 | c-16 | c-17 | c-18 | c-19 | c-20 | c-21 | c-22 | c-23 | c-24 | c-25 | c-26 | c-27 | c-28 | c-29 | c-30 | c-31 | c-32 | c-33 | c-34 | c-35 | c-36 | c-37 | c-38 | c-39 | c-40 | c-41 | c-42 | c-43 | c-44 | c-45 | c-46 | c-47 | c-48 | c-49 | c-50 | c-51 | c-52 | c-53 | c-54 | c-55 | c-56 | c-57 | c-58 | c-59 | c-60 | c-61 | c-62 | c-63 | c-64 | c-65 | c-66 | c-67 | c-68 | c-69 | c-70 | c-71 | c-72 | c-73 | c-74 | c-75 | c-76 | c-77 | c-78 | c-79 | c-80 | c-81 | c-82 | c-83 | c-84 | c-85 | c-86 | c-87 | c-88 | c-89 | c-90 | c-91 | c-92 | c-93 | c-94 | c-95 | c-96 | c-97 | c-98 | c-99 | |
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| 0 | id_000644bb2 | trt_cp | 24 | D1 | 1.0620 | 0.5577 | -0.2479 | -0.6208 | -0.1944 | -1.0120 | -1.0220 | -0.0326 | 0.5548 | -0.0921 | 1.1830 | 0.1530 | 0.5574 | -0.4015 | 0.1789 | -0.6528 | -0.7969 | 0.6342 | 0.1778 | -0.3694 | -0.5688 | -1.1360 | -1.1880 | 0.6940 | 0.4393 | 0.2664 | 0.1907 | 0.1628 | -0.2853 | 0.5819 | 0.2934 | -0.5584 | -0.0916 | -0.3010 | -0.1537 | 0.2198 | 0.2965 | -0.5055 | -0.5119 | -0.2162 | -0.0347 | -0.2566 | -1.1980 | 0.3116 | -1.0330 | 0.2208 | -0.1143 | -0.0251 | 0.0350 | 0.4233 | -0.1221 | -0.4927 | 0.6119 | 0.4715 | -0.0351 | -0.1605 | -0.6750 | 0.2263 | 0.5790 | 0.9588 | 0.6061 | -0.1300 | 0.6611 | -0.3136 | -0.2020 | 0.0251 | 0.1670 | -0.4195 | 0.6551 | -0.7395 | -0.7047 | -0.5369 | 0.0314 | -0.5239 | -0.3406 | -0.6332 | -1.0330 | -0.3763 | -0.8550 | 0.7348 | -0.2226 | -0.1959 | -0.0005 | -2.1440 | 1.7320 | 0.0190 | -0.1188 | 0.4050 | -1.5840 | -0.3011 | 0.2048 | -1.1230 | -1.5590 | -1.7980 | 0.7017 | -1.0390 | 0.0958 | 0.4527 | 0.5455 | -0.0828 | -0.5364 | 0.5522 | -0.7768 | -0.8044 | -0.1181 | -1.2560 | 0.1593 | -0.6998 | -1.7470 | 0.7120 | -0.7635 | -0.0290 | 1.2670 | 0.4734 | -0.9902 | 0.4391 | -0.1188 | -0.0348 | 0.4676 | 1.9750 | 0.0545 | 1.2880 | 1.2260 | 0.0486 | -0.8622 | -1.2770 | -0.1810 | -0.2600 | -0.5130 | -0.0227 | -0.2257 | -0.7349 | 0.3116 | -0.8774 | 0.3539 | 0.2833 | -0.3501 | -0.4372 | -0.4646 | -0.4940 | 0.5297 | 1.2420 | -1.1870 | 0.4382 | 1.1360 | -0.1758 | 0.3858 | -1.2530 | -0.1779 | 0.5655 | -0.1696 | 0.1464 | -0.1973 | -0.4959 | 0.2655 | 0.4279 | -0.0202 | -0.1091 | -0.7799 | -0.8062 | -0.3239 | 0.2411 | -1.0170 | -0.5592 | -0.4386 | 0.0590 | 0.3816 | 0.0817 | -0.8457 | 0.5989 | -0.4194 | 0.0858 | 0.7449 | 1.6820 | -0.2471 | -1.4130 | -0.2031 | -0.2256 | -0.6217 | 0.4969 | 0.1109 | -0.3284 | 0.2469 | -0.2786 | 0.2318 | -0.5274 | 0.5698 | -0.2100 | 1.4050 | -0.1078 | 0.1064 | -0.2164 | 0.0917 | 0.4796 | -0.1509 | 0.7374 | -0.7406 | -0.5210 | -0.0491 | 0.8366 | 2.0720 | 0.4171 | 0.2383 | 1.0990 | -0.2268 | -0.3183 | 0.5875 | -0.2213 | -0.8059 | 1.4560 | -0.3744 | -0.5810 | 0.7226 | 0.1093 | 0.7356 | -1.2170 | 0.6242 | 0.7148 | 0.3128 | 0.2482 | -1.0320 | -0.5883 | -1.9170 | -0.2457 | 0.5389 | -0.2066 | -0.6200 | 0.9635 | 1.1080 | -0.0549 | 0.8528 | -1.6510 | 0.1414 | -0.2369 | 0.2736 | 0.1218 | -0.3546 | -0.1706 | 0.2143 | 0.2421 | 0.0236 | 0.5628 | 0.4498 | -1.2160 | 0.1905 | 0.3205 | -0.7976 | -0.4980 | -0.3072 | 0.7621 | 0.3802 | 0.8749 | -5.6910 | -0.5780 | -1.3310 | 0.7077 | 0.7656 | -1.0850 | -4.2300 | 0.1147 | -0.2898 | -0.6454 | 1.0590 | 1.0820 | -0.0111 | -0.0030 | 0.2083 | 0.2706 | 0.1489 | 0.7500 | -0.6775 | 1.1370 | -0.6083 | 0.6781 | -0.1734 | 0.7350 | -0.0750 | 0.8785 | -0.0273 | -0.6809 | -0.6896 | 0.3126 | -0.0746 | -0.1634 | -0.1318 | 0.1369 | 0.4765 | -0.0140 | -0.0411 | 0.0819 | -0.4803 | 0.3860 | -0.4232 | 0.0018 | 0.1365 | -0.4100 | -0.0684 | 0.6743 | -0.3253 | -0.7053 | -0.7026 | 0.4308 | -0.4998 | -0.3225 | -0.5908 | 0.0631 | 0.9894 | -0.2418 | -0.0950 | -0.0402 | -0.5224 | 0.3137 | 0.1922 | -0.6259 | -0.6170 | 0.3810 | -0.1991 | -0.3726 | 0.1163 | 0.4642 | -1.8840 | -0.4574 | 0.6154 | -0.5105 | -0.3627 | 0.3073 | 0.3873 | -0.0835 | 0.2406 | 0.8298 | 0.1425 | -0.0162 | 0.5513 | -1.1080 | -0.2111 | -0.0272 | 0.9574 | 0.1556 | 0.8994 | 0.8328 | -0.6052 | -0.2273 | 0.5473 | -0.1076 | -0.1274 | -0.3065 | 0.7828 | -1.1430 | -0.2158 | -0.3083 | 0.5523 | 0.2218 | 0.0652 | 0.4911 | -0.0847 | -0.4622 | 0.7352 | -0.3754 | -0.0539 | -0.5360 | -0.2167 | 0.2862 | -0.7244 | 0.4862 | 0.3098 | 0.3203 | -1.1360 | -0.0003 | 0.0323 | -0.3259 | 0.2418 | 0.2289 | 0.1368 | -0.2966 | -0.3741 | 0.5207 | 0.1586 | 0.2070 | -0.2473 | 1.0300 | -0.3336 | -0.0813 | 1.4350 | -0.2065 | 0.3192 | 1.7600 | -1.3010 | -1.8500 | -0.0301 | 0.5843 | 2.9260 | 0.0880 | -0.1301 | 0.4300 | -0.8048 | 0.1346 | 0.2102 | 0.8176 | 0.1524 | -1.3750 | 1.0530 | 1.1810 | -0.5394 | 0.3665 | -0.5807 | 0.4673 | 0.0675 | -0.3645 | -0.8796 | -0.6843 | -0.5152 | -0.8100 | 1.0640 | -0.1973 | -0.4108 | -0.4925 | -1.0510 | -0.5257 | -0.1831 | -0.1411 | -0.7326 | 0.0000 | 0.7155 | 1.5050 | -0.6908 | 1.2700 | 0.5581 | -0.4096 | -0.0324 | -0.0513 | -0.3070 | 0.7375 | -0.3648 | 0.1698 | 0.7127 | -0.3804 | 0.3381 | -0.4014 | -0.0093 | -0.1907 | 0.7591 | -0.2120 | 1.0600 | 0.0995 | -0.4298 | 0.9586 | 0.5436 | 0.8127 | -0.1461 | 0.3318 | 0.9664 | -0.8808 | -0.2304 | 0.2416 | 0.0396 | -0.9080 | 0.9310 | 0.6799 | -1.3560 | 0.2437 | -1.4880 | 0.9209 | 0.4848 | 0.6587 | -0.3046 | 0.3768 | 0.8593 | -0.9440 | 0.5416 | -0.7895 | -0.3494 | 0.4762 | 2.3150 | -0.2225 | -0.1816 | -0.3624 | 0.2554 | 0.0205 | 0.3210 | 0.4219 | -0.2075 | 0.0236 | -0.4579 | 0.5735 | -0.5794 | -0.0312 | 0.4597 | 0.1564 | 0.4239 | -0.4168 | 1.1010 | 0.7867 | -0.7898 | -0.0942 | 0.2404 | 0.0250 | 0.1980 | -0.7132 | -0.4471 | 0.2010 | 0.6466 | 0.6063 | -0.7012 | 0.5861 | 0.4844 | -0.1026 | -0.3578 | -0.5311 | 0.5993 | 1.2340 | -0.0841 | -0.7955 | 0.4247 | 0.1726 | 1.4460 | 0.7659 | -1.1540 | -0.0514 | 0.2890 | -0.8723 | 0.1143 | 1.0390 | -0.4714 | 0.5738 | -0.8244 | 2.5560 | -1.1780 | 0.4859 | -0.5094 | -0.2978 | 0.4729 | -0.3151 | -0.5117 | 0.3726 | 0.1583 | 0.6409 | 0.1861 | -0.4818 | -1.5260 | 0.5918 | -0.1791 | 0.0702 | 0.9369 | -0.7034 | 0.0407 | -0.5628 | 0.5371 | -0.4948 | -0.2678 | 0.9640 | -0.7682 | -0.1171 | 1.0650 | 0.0403 | -0.2536 | -1.9680 | 0.7657 | 0.3726 | -2.3880 | -0.5841 | -0.0110 | -0.0977 | 0.1230 | -0.0452 | -4.0410 | -0.1743 | 0.1225 | 0.6353 | -0.1063 | 0.1242 | -0.8044 | -2.5040 | 2.0270 | -0.0181 | -0.1780 | 0.6145 | -0.8319 | -0.5172 | -0.1023 | 0.7075 | -0.2458 | 0.6410 | 0.7450 | -0.8205 | -0.1733 | -0.2182 | 0.8320 | 1.0150 | -0.2779 | -0.3271 | -1.2450 | 0.6923 | 2.2630 | 0.5050 | -0.6080 | 0.4942 | -0.5155 | 0.1552 | 0.5134 | 0.7408 | -0.1477 | -0.2136 | -0.6129 | 0.4357 | 1.2690 | -0.3858 | 0.8604 | 0.0958 | 3.3940 | -0.0452 | 0.6513 | 0.0941 | 1.6230 | 1.2990 | 0.6629 | -0.2984 | -0.3423 | -1.2190 | -1.3040 | -0.5645 | 0.7661 | -0.0819 | 0.6308 | 0.7729 | -0.0072 | 0.2032 | -0.3999 | 0.4572 | -0.8976 | 0.2599 | 0.8406 | 0.6590 | 0.5739 | -1.0410 | 0.2930 | -0.2461 | -0.1803 | -0.3313 | -0.8521 | 0.0299 | -1.6130 | 0.0490 | 0.5186 | -0.7712 | 0.1361 | -0.5311 | 0.8418 | -0.0203 | 0.0685 | -0.2004 | -0.3432 | -0.8311 | -0.2598 | 0.8483 | 0.6825 | 0.4016 | 0.2968 | -0.6905 | 0.1019 | -0.9237 | -0.1007 | 0.6118 | -0.4484 | -1.0010 | -0.5325 | 0.8088 | -0.3570 | 1.3580 | 0.9664 | 0.6891 | -0.5659 | -1.2160 | 0.0260 | 2.0740 | 0.1510 | 0.4802 | -0.0777 | -0.4704 | 0.1794 | 0.1726 | -0.2420 | 0.6410 | 0.4676 | -0.5658 | 0.0339 | -0.8148 | -0.8473 | -0.4542 | 0.2070 | -0.9777 | -0.0127 | 0.0926 | -0.2848 | -0.9096 | 0.8706 | 1.5650 | 0.0388 | 0.5303 | -0.1335 | -1.0710 | 1.3660 | 0.3547 | 1.1850 | -0.4955 | 0.1167 | 0.0252 | 0.1475 | -0.1656 | -0.7887 | -0.1821 | -0.0314 | -0.4589 | -0.2511 | -0.8571 | 0.7007 | 0.9829 | 1.3150 | 0.4647 | -0.3811 | -2.9720 | -0.3604 | 0.0570 | 0.3263 | 0.8888 | -0.7433 | -0.4647 | -0.2641 | -0.6593 | 1.0520 | 0.3921 | 0.1705 | -0.5949 | -0.9041 | -0.8089 | 0.6598 | -0.4772 | 0.1289 | -0.0297 | 0.4564 | -0.1447 | 0.4683 | -0.1722 | 0.9998 | 1.2860 | -0.6166 | 0.0963 | 1.6340 | -0.8744 | 0.4931 | -0.0283 | -0.3110 | -0.1117 | -0.4528 | 1.3240 | -0.0503 | -1.2750 | -0.1750 | -0.6972 | -0.2720 | 0.2931 | 1.5280 | 0.3453 | -0.5055 | -0.3167 | 1.0930 | 0.0084 | 0.8611 | -0.5582 | 0.3008 | 1.6490 | 0.2968 | -0.0224 | -0.0600 | 0.1083 | 0.6864 | 0.4043 | 0.4213 | -0.6797 | 0.2888 | 0.4323 | -0.3381 | 0.3407 | 0.9084 | 0.6857 | 1.0620 | 0.7602 | -0.1048 | 0.3594 | 0.6376 | -0.2798 | -0.4010 | 0.6842 | 1.1560 | 0.3522 | -0.3971 | -0.2115 | -0.2687 | 0.5196 | 0.1594 | 0.8920 | 0.6485 | 0.6078 | 0.3799 | -0.1727 | 0.3817 | 0.3600 | 0.5124 | -0.1414 | 0.6159 | 0.4689 | -0.0773 | 0.4728 | -0.0143 | -0.5344 | 0.3578 | 0.3248 | 0.8903 | 0.3431 | 1.0340 | 1.3070 | -1.0230 | 0.7709 | 0.7180 | 0.0546 | -0.9013 | 0.0471 | 0.3927 | -0.1148 | -0.0476 | -0.1612 | 0.1493 | -0.2094 | 0.4805 | 0.4965 | 0.3680 | 0.8427 | 0.1042 | 0.1403 | 0.1758 | 1.2570 | -0.5979 | 1.2250 | -0.0553 | 0.7351 | 0.5810 | 0.9590 | 0.2427 | 0.0495 | 0.4141 | 0.8432 | 0.6162 | -0.7318 | 1.2120 | 0.6362 | -0.4427 | 0.1288 | 1.4840 | 0.1799 | 0.5367 | -0.1111 | -1.0120 | 0.6685 | 0.2862 | 0.2584 | 0.8076 | 0.5523 | -0.1912 | 0.6584 | -0.3981 | 0.2139 | 0.3801 | 0.4176 |
| 1 | id_000779bfc | trt_cp | 72 | D1 | 0.0743 | 0.4087 | 0.2991 | 0.0604 | 1.0190 | 0.5207 | 0.2341 | 0.3372 | -0.4047 | 0.8507 | -1.1520 | -0.4201 | -0.0958 | 0.4590 | 0.0803 | 0.2250 | 0.5293 | 0.2839 | -0.3494 | 0.2883 | 0.9449 | -0.1646 | -0.2657 | -0.3372 | 0.3135 | -0.4316 | 0.4773 | 0.2075 | -0.4216 | -0.1161 | -0.0499 | -0.2627 | 0.9959 | -0.2483 | 0.2655 | -0.2102 | 0.1656 | 0.5300 | -0.2568 | -0.0455 | 0.1194 | -0.3958 | -1.1730 | 0.4509 | 1.9250 | 1.1010 | 0.2648 | -0.3615 | 0.1710 | -0.8900 | 1.2730 | -0.5036 | -0.2277 | -0.7339 | -0.4283 | -0.1231 | -0.6328 | 0.4759 | 0.3249 | -0.7408 | -0.5814 | 1.7840 | -0.1087 | 1.0350 | 0.4087 | -0.6948 | -0.8026 | 0.0954 | -0.4054 | 0.1197 | 0.1956 | 0.0720 | -0.2463 | -0.1084 | 0.4008 | -0.5857 | 0.8933 | 0.2842 | 1.1870 | 0.7311 | 0.7734 | -1.5920 | -1.3500 | 0.0055 | -0.6507 | -0.3979 | 0.6976 | 0.1383 | 0.2558 | 0.2563 | 0.0563 | -0.3854 | -0.6528 | -0.1740 | -0.0188 | -0.4910 | -1.3820 | 0.4300 | -0.3965 | 0.1346 | 0.7129 | -0.0724 | -0.8599 | -0.3863 | -0.0948 | -0.5932 | -0.1630 | -0.2356 | 0.2319 | 0.0487 | 0.7302 | 0.0271 | -0.1482 | 0.2702 | 0.8842 | -0.2944 | -0.4810 | 0.0268 | -1.2140 | 1.7630 | 0.7860 | 0.0232 | 0.0152 | 0.0804 | -0.8073 | 1.1340 | -0.2540 | -0.1643 | -0.6529 | 1.1480 | 0.2172 | -0.0493 | 0.0806 | -0.8065 | -0.3062 | -0.4078 | 0.5039 | 0.7468 | -0.0415 | 0.9550 | -0.4778 | -1.3910 | 0.1903 | -0.4695 | -0.5351 | -0.3524 | -0.9459 | 0.0287 | 0.5038 | -0.4026 | 0.2609 | 0.1743 | 0.5582 | 0.5020 | -0.6926 | -0.0407 | 1.0120 | 0.1305 | 0.1049 | -0.1423 | 0.0882 | 1.1880 | -0.5056 | -0.0163 | -1.4020 | 0.6522 | 1.2160 | -0.0478 | 0.3713 | 0.2215 | 0.2610 | 0.3841 | -0.1476 | -1.2850 | -0.6565 | 0.2697 | 0.0919 | 0.2341 | 1.3360 | -0.1854 | 0.0325 | 0.1416 | -0.2420 | -0.2166 | -0.5338 | 0.1229 | -0.2280 | -0.3149 | 0.7871 | -0.1145 | -0.2067 | -0.3810 | 0.3166 | -1.4640 | -0.1521 | 0.4040 | 0.6048 | 0.1126 | -0.2919 | -0.3401 | 1.8500 | 0.0767 | 0.4833 | -0.6428 | 0.8914 | -0.6113 | -1.1600 | -0.5689 | -0.3027 | -0.1273 | -0.8117 | 1.0240 | 0.3938 | 0.1875 | 0.2138 | 1.4080 | 0.5441 | 0.8406 | -0.9672 | -0.4611 | 0.1144 | 1.2280 | 0.1734 | 0.8120 | 0.9384 | 0.4147 | -0.0678 | 0.3877 | -0.0554 | 0.5726 | -0.2251 | -0.3640 | 0.2817 | -1.4580 | 0.4062 | -0.5457 | 0.0207 | 0.3992 | 0.0000 | -1.6820 | -0.5257 | 0.0354 | -0.9122 | 0.5680 | -0.1172 | -0.3771 | 0.2739 | 0.5264 | 1.0880 | -0.2243 | 0.1435 | 0.2113 | 0.1145 | 0.3929 | 0.4099 | -1.3350 | -0.0047 | 0.3889 | -2.8660 | -0.4587 | 0.5828 | 0.3794 | -0.2398 | -0.6023 | 0.3300 | 0.7609 | 0.7782 | 0.6288 | 0.3997 | 0.3334 | -0.4084 | 0.0322 | 0.8100 | 0.0790 | 0.2957 | 0.0552 | 0.2857 | -0.2803 | 0.2148 | -0.0999 | -0.8585 | 0.0424 | 0.2288 | 0.2725 | -0.8289 | -0.4467 | 0.5038 | 1.1150 | -0.4685 | -0.2131 | 2.7230 | -0.4210 | 0.6654 | -0.3241 | 0.4205 | -0.0983 | -0.7719 | -0.6461 | 0.4525 | 0.3128 | -0.0982 | -0.4904 | -0.5194 | -0.0573 | 0.8627 | 0.2022 | -0.3246 | 0.0000 | -0.1836 | 1.1160 | 0.0896 | 0.5995 | 0.0872 | -0.4782 | 1.3920 | 0.7363 | 1.0350 | -0.0988 | -0.1391 | -0.0334 | 0.1495 | -0.0284 | -0.5422 | -1.4280 | -2.0420 | 0.7898 | -0.3544 | 0.6622 | -0.3950 | -0.0612 | 0.3440 | -0.0350 | 0.3131 | 0.1551 | 0.0415 | 0.2605 | 0.4880 | -0.3697 | 0.1219 | -0.0901 | 0.7550 | -0.0588 | -0.4411 | -0.1349 | 1.6910 | 0.4883 | -0.9540 | -0.1068 | -0.3089 | -0.2037 | -1.1410 | 0.6719 | 0.3316 | -0.3645 | -0.1505 | -1.5620 | 0.1618 | 1.4340 | 2.3300 | -0.5334 | 0.2491 | -0.1300 | 0.0820 | 0.3372 | 0.1284 | -0.2834 | 0.2392 | -0.5780 | -0.5125 | 0.5464 | -0.0003 | 1.4300 | 0.0483 | 0.6572 | -0.5502 | -0.6803 | 0.5432 | 1.0340 | 0.9739 | 0.2095 | -0.8197 | 5.5660 | 0.0976 | 0.7329 | -0.4685 | -0.1022 | -0.6943 | 1.4360 | 0.0524 | -1.2900 | 0.3202 | -0.2365 | 0.0452 | 0.1015 | -0.1654 | 0.2342 | 0.7119 | 0.9402 | 0.8471 | 0.8067 | 0.9035 | -0.3166 | -0.2157 | -0.3248 | 0.7639 | -0.4159 | -0.7689 | 0.6705 | 0.1015 | -0.2108 | 0.8483 | 0.1878 | -0.0445 | -0.2075 | 0.2641 | -0.8241 | 3.4430 | -0.3536 | -0.9675 | -0.6392 | 0.1663 | 0.3741 | -0.0849 | -1.5230 | -0.6122 | 0.2376 | -0.7045 | 0.9229 | -0.1109 | 0.1455 | 1.0250 | -0.3828 | 0.1192 | 0.0670 | 0.6260 | 0.0354 | 0.1407 | 0.4225 | 0.6169 | 0.1912 | -0.7532 | 0.1076 | -1.5640 | -0.0900 | -0.0638 | 0.4470 | 0.2506 | -1.1270 | 0.1764 | -0.6652 | 0.5373 | -0.4762 | 2.1760 | -0.2850 | 1.0640 | -0.8141 | 0.8071 | 0.7380 | -0.6021 | 0.4574 | 0.2496 | -1.1630 | 0.2737 | -1.4720 | -0.5201 | 0.3198 | -0.5713 | 0.9142 | -0.6790 | 0.7054 | -5.2370 | 0.9811 | 0.1245 | -0.1504 | -0.6305 | -0.8063 | -0.9589 | 0.4972 | -1.1140 | -0.0072 | 0.2877 | -0.2530 | -0.9674 | 0.4881 | -0.2506 | 0.5595 | 0.0116 | 0.4315 | -0.7103 | 0.0661 | -0.3377 | -1.0560 | 0.8337 | 0.2122 | 0.2911 | 1.2920 | 0.6318 | 0.7765 | 0.7975 | -0.3077 | -0.3372 | -1.6120 | 0.4096 | 0.7901 | 0.0100 | -0.4658 | -0.5450 | -0.5073 | -0.1380 | -0.4848 | 0.9155 | 0.9955 | -0.9648 | -0.8853 | 0.0999 | -1.0340 | 0.5836 | 0.1950 | -0.6917 | -0.4196 | -1.2280 | -0.3105 | 0.1353 | -0.5391 | 0.2404 | -0.5610 | -0.1294 | -0.0806 | 0.7456 | -0.6391 | 0.0853 | -0.6206 | 0.6729 | -0.8522 | -0.2415 | 0.0761 | 0.3558 | 0.9662 | 0.1707 | -0.9712 | 0.0832 | 0.5572 | 0.6003 | -0.0062 | 0.0322 | -0.1043 | 0.2711 | -0.2471 | 0.3055 | -0.2862 | 0.4155 | -0.4424 | -0.5932 | 0.0273 | 0.1344 | -1.3420 | -0.2685 | 0.2151 | -0.5127 | 0.6447 | 0.8874 | -0.4330 | -0.5393 | 0.1479 | 0.4881 | -0.1831 | 1.3670 | -0.3372 | 0.3190 | 0.3824 | 0.7297 | 0.1558 | -0.5803 | -0.6928 | 1.2090 | 0.5312 | 1.1430 | 0.9513 | -0.6138 | -0.7623 | 0.0863 | 1.2540 | -1.2850 | -0.0172 | -1.1420 | 0.5320 | -0.2722 | 0.0000 | -0.1406 | -0.9510 | 0.9837 | -0.2797 | -1.1940 | -0.4952 | -0.6391 | 0.4099 | -0.2789 | -1.7590 | -0.4139 | -0.8009 | -0.9295 | 0.8543 | 1.2990 | -1.1020 | -0.6565 | -1.0050 | -0.8245 | -0.9344 | 1.1400 | 0.8501 | -0.7063 | 0.3696 | -1.0050 | -0.4687 | -1.2080 | 1.4330 | -0.3249 | -0.3488 | 0.8468 | -0.0415 | -0.6929 | -3.2430 | -1.9270 | 0.7375 | -0.5561 | 0.2121 | 0.1149 | -0.1857 | -0.0585 | -1.1910 | -0.0211 | 2.0930 | -0.1148 | 0.5500 | -0.2247 | -0.2341 | 0.1500 | 1.0330 | 0.4735 | -0.3925 | 1.0250 | -0.4841 | -0.2616 | -0.2097 | 1.6210 | -0.0198 | -0.3301 | -0.7962 | -0.3305 | 0.8353 | -0.0824 | 0.2448 | -0.6899 | 0.0095 | -0.2209 | -0.4061 | -0.2806 | 1.5450 | -0.0336 | 0.8536 | -0.3959 | -0.0771 | 1.1700 | -0.3825 | 1.2050 | -0.2530 | -0.1584 | 0.3260 | 0.0056 | -0.8074 | -0.3990 | 0.5275 | 0.1397 | -0.8016 | 0.0213 | 0.7234 | 0.3140 | 0.1219 | 0.2062 | 0.0692 | 0.4442 | -0.5133 | 0.4945 | -0.0779 | -0.6745 | -0.8910 | -2.4460 | 0.6951 | 0.1032 | 0.1847 | -0.9964 | 0.2310 | -0.4867 | 0.0663 | -4.1870 | 0.6669 | 0.8576 | -0.4833 | -0.0817 | 2.2200 | -0.8233 | -1.0760 | -0.2645 | -0.7521 | 0.8955 | 0.4854 | 0.1402 | 0.1514 | 0.0730 | 0.4431 | 0.5035 | 0.9635 | 0.6474 | 0.4754 | -0.3977 | -0.0720 | -0.7758 | 0.2326 | -0.4880 | 0.0326 | -0.3358 | 0.0632 | -0.0542 | -0.2321 | -0.4092 | 0.2212 | 0.7369 | 0.8979 | -0.5004 | -0.3708 | 0.1372 | -1.2270 | 3.1050 | 0.0204 | -0.0961 | 0.2919 | -0.4584 | 0.0556 | 0.9844 | -0.6653 | -0.3092 | -0.1507 | -0.9481 | -0.1966 | 0.8554 | 0.5839 | -1.6840 | 0.0648 | 0.5845 | 0.0891 | -0.5025 | -0.1047 | 0.3764 | -1.4800 | -0.2947 | 0.2745 | -0.5234 | 0.1575 | -0.1214 | 0.0476 | 0.1657 | 1.0310 | -0.5338 | 0.0224 | -0.4831 | 0.2128 | -0.6999 | -0.1214 | -0.1626 | -0.3340 | -0.3289 | -0.2718 | 0.0927 | 0.2723 | 0.2772 | 0.7776 | 0.3679 | 0.5696 | 0.2835 | 1.4080 | 0.3745 | 0.6775 | 0.7787 | 0.2074 | 1.1110 | 0.2433 | 0.2010 | 0.7094 | -0.4210 | -0.2274 | 0.4045 | 0.1138 | 0.9950 | 0.0087 | 0.4864 | -0.0140 | 0.0164 | 0.1759 | 0.6654 | 0.3556 | 0.8175 | 0.0474 | 0.5589 | 0.4481 | 0.1888 | 0.3712 | 0.7837 | 0.6860 | 0.4123 | 0.1560 | -0.1203 | -1.2780 | 0.6743 | 0.7358 | 0.1334 | -0.5193 | 0.2281 | 0.0158 | -0.5658 | 0.6065 | 0.6259 | 0.4716 | 0.0453 | 0.5036 | 1.0750 | 0.2111 | 0.4759 | 0.1408 | 0.8763 | 0.4611 | 0.8784 | -0.4291 | 0.4083 | 0.0319 | 0.3905 | 0.7099 | 0.2912 | 0.4151 | -0.2840 | -0.3104 | -0.6373 | 0.2887 | -0.0765 | 0.2539 | 0.4443 | 0.5932 | 0.2031 | 0.7639 | 0.5499 | -0.3322 | -0.0977 | 0.4329 | -0.2782 | 0.7827 | 0.5934 | 0.3402 | 0.1499 | 0.4420 | 0.9366 | 0.8193 | -0.4236 | 0.3192 | -0.4265 | 0.7543 | 0.4708 | 0.0230 | 0.2957 | 0.4899 | 0.1522 | 0.1241 | 0.6077 | 0.7371 |
| 2 | id_000a6266a | trt_cp | 48 | D1 | 0.6280 | 0.5817 | 1.5540 | -0.0764 | -0.0323 | 1.2390 | 0.1715 | 0.2155 | 0.0065 | 1.2300 | -0.4797 | -0.5631 | -0.0366 | -1.8300 | 0.6057 | -0.3278 | 0.6042 | -0.3075 | -0.1147 | -0.0570 | -0.0799 | -0.8181 | -1.5320 | 0.2307 | 0.4901 | 0.4780 | -1.3970 | 4.6240 | -0.0437 | 1.2870 | -1.8530 | 0.6069 | 0.4290 | 0.1783 | 0.0018 | -1.1800 | 0.1256 | -0.1219 | 5.4470 | 1.0310 | 0.3477 | -0.5561 | 0.0357 | -0.3636 | -0.4653 | -0.8346 | 0.1113 | -0.7615 | -0.4983 | 0.4552 | -0.0978 | -0.2661 | 0.6058 | 0.2686 | -0.6191 | -0.4444 | 1.2540 | 0.0621 | -0.1757 | -1.4370 | 0.5553 | 0.8346 | -0.3334 | -0.2933 | -0.1644 | -1.1280 | -0.0292 | 0.0939 | 0.5916 | 0.6809 | 0.7821 | 0.6801 | 0.9634 | 0.4057 | -0.0708 | -1.3570 | 0.2306 | -0.4130 | -0.1406 | 0.3078 | -0.4273 | -0.8073 | 1.0050 | -0.0678 | -0.0617 | -0.1562 | 0.4080 | 0.7163 | -0.2040 | -0.9246 | 0.8540 | 0.4286 | 0.3396 | 1.6870 | -0.6283 | 0.2548 | 0.6822 | 0.0955 | -0.3061 | 0.7335 | -0.7646 | -0.3154 | 0.6849 | 0.7327 | 0.0000 | -0.4462 | -0.9601 | -0.2600 | -0.7443 | 0.1388 | -0.1204 | -0.0079 | -0.8991 | -0.1627 | -0.3827 | -0.1245 | -0.7449 | -0.4446 | -0.2475 | -0.0184 | 0.2551 | -0.9627 | 1.0660 | 0.1807 | 0.2413 | 0.9176 | -0.0486 | -0.3885 | -0.2843 | 0.3051 | -0.1750 | -0.3465 | -0.6194 | -0.6888 | 0.6535 | -0.0302 | -0.0747 | -0.0095 | -0.4059 | -0.7744 | -1.1260 | -0.8119 | 0.3927 | 1.8060 | -0.0104 | 2.4450 | -0.1512 | 0.6194 | 1.7050 | -1.8500 | -0.8219 | -0.2035 | -0.6910 | 0.5166 | 0.1713 | -0.2872 | -1.4870 | 0.3598 | 0.3011 | 0.4400 | 1.7920 | -4.1810 | 2.1840 | -0.9974 | 0.2307 | -0.8124 | 0.8455 | -2.7010 | -0.9168 | -1.1480 | 0.0825 | -0.6908 | -0.4245 | -0.3494 | -0.1320 | 1.1870 | -2.6240 | -1.6640 | 0.1667 | -1.2800 | 0.7258 | -0.3007 | 0.5677 | 0.4284 | -0.2485 | -2.1940 | -0.0611 | 0.0544 | 3.6780 | -0.9055 | 2.0350 | 1.1970 | -0.3382 | 0.4036 | 1.1240 | -0.0200 | 0.6208 | -1.0140 | 0.4891 | -0.9596 | 0.6812 | 0.8989 | 1.1700 | -0.0548 | 0.0158 | 0.3535 | 0.4584 | -0.2650 | -0.7341 | -0.2659 | -0.2204 | -0.2573 | -0.0987 | 0.0000 | -0.9180 | -0.4061 | -0.1563 | -0.5587 | 0.7254 | -0.1942 | 0.7268 | 0.4797 | 0.2154 | -0.4764 | 0.1271 | 1.0900 | 0.9388 | -0.5565 | 0.0423 | -0.0731 | -0.9985 | -0.3970 | 0.2657 | -0.8142 | 0.4578 | -1.0520 | 1.0170 | 0.2057 | 0.0000 | -0.6368 | 0.0580 | 0.0256 | 0.3221 | 1.0280 | 0.3711 | 0.8571 | -0.0999 | 1.1750 | 1.0790 | -0.2471 | 0.4541 | -1.1310 | 1.3710 | -1.0650 | -1.7880 | -0.2968 | -1.0720 | -0.1389 | 0.6456 | 0.0163 | 0.7382 | 0.8752 | 0.1376 | 0.9276 | -0.2786 | 0.1356 | 3.8460 | 0.4007 | -0.3805 | -0.3386 | -1.2020 | -2.6600 | -0.4291 | 0.4423 | -0.0138 | -1.4390 | -1.2520 | -3.0580 | -1.3900 | 0.5075 | 1.0470 | -0.6240 | 0.3637 | 1.1530 | -2.4060 | -0.2155 | 0.1403 | 0.1304 | -0.6842 | 0.7247 | -0.3732 | -0.3652 | 0.2583 | 0.2603 | 0.7571 | 0.5776 | -0.1146 | 0.5044 | -0.2182 | -1.1640 | 0.1973 | -0.1634 | 0.4679 | -0.6327 | 0.0077 | 0.4912 | -0.0439 | 0.0000 | -0.7869 | -0.3595 | -0.7576 | -0.5784 | -1.1580 | 0.3820 | -0.7059 | 0.3318 | -0.2815 | 0.3059 | -0.7775 | 0.2092 | -0.2256 | 0.7167 | 0.1008 | 0.3419 | -0.6242 | -0.6133 | -0.7581 | -0.6950 | 0.4777 | -0.3594 | 0.6317 | 0.7301 | -0.5409 | 0.0328 | 1.0430 | -1.5410 | -0.5556 | -0.6799 | -0.0899 | -0.0953 | -0.1192 | 0.1494 | -0.1420 | -0.0760 | 4.9950 | -0.7192 | -0.5795 | -1.3020 | -0.0552 | 1.0100 | 0.2776 | 0.6188 | -0.5809 | -0.3133 | 0.4052 | 0.0645 | -0.5867 | -0.4081 | -1.0730 | 0.8852 | -0.1123 | -0.7055 | 1.0370 | -0.1787 | -0.8260 | 0.2129 | -0.1174 | 0.3113 | -1.1920 | 0.8636 | 0.0000 | 0.7387 | -0.5885 | 0.7911 | 0.3885 | -3.8760 | 2.1570 | 0.0424 | -0.2833 | 0.0316 | 0.6744 | -0.8045 | -0.8462 | -0.4991 | 0.3607 | -1.1120 | -0.8808 | 1.2810 | 1.6090 | -0.9422 | 0.6258 | 1.9910 | -0.2280 | -0.0571 | 0.4884 | -0.2524 | -2.6080 | 0.2484 | -1.6240 | -1.8640 | -0.0814 | -1.5910 | -0.4724 | -0.6393 | 0.5290 | -0.3234 | -0.6989 | 0.2333 | -0.3057 | -0.2485 | -0.0931 | 0.3332 | -1.5860 | -0.6640 | 1.9000 | 0.9154 | 0.4955 | 0.6638 | 0.2452 | -0.0018 | 0.4202 | -3.0600 | -0.9568 | -0.6617 | 0.3672 | 1.6110 | -1.6320 | -0.5669 | -0.3505 | -0.7257 | -0.4403 | -0.8346 | 0.3099 | -0.7949 | 0.2979 | -1.5600 | -0.6829 | 0.8864 | -0.1460 | -0.8346 | -0.1508 | -0.6829 | 0.5365 | 0.5518 | 0.8081 | -0.5251 | -0.0437 | -0.2788 | 0.7479 | -0.0791 | 0.0813 | 1.1550 | 0.1092 | -0.0844 | -0.0771 | 0.8328 | 1.2730 | 0.4051 | -0.0829 | -0.2115 | 0.9004 | 0.4302 | 0.0398 | -0.0176 | 0.4419 | 0.7477 | 1.0620 | -0.0858 | -0.5853 | 0.7763 | -4.3980 | 0.4945 | 0.0106 | -0.4947 | -1.4010 | 0.5584 | -0.0285 | 0.5072 | 0.2086 | -4.7380 | 0.8392 | 0.7598 | 0.5072 | -1.3920 | 2.1010 | -1.0860 | 1.0340 | -0.5167 | -1.9990 | 0.3732 | -0.9049 | -0.7799 | 0.9992 | -0.5590 | -0.0135 | -4.8890 | -0.1696 | 1.0460 | 0.0245 | 0.0970 | 0.1320 | 0.7928 | 0.6660 | -0.1795 | -0.4340 | 0.3210 | 0.0586 | 0.5718 | -1.2530 | -0.5652 | -0.5416 | 0.1668 | -0.0813 | -0.1271 | 1.8260 | 0.0549 | -0.7779 | -0.1319 | -0.9788 | -0.0324 | -0.8480 | -0.2811 | -0.8472 | 0.8832 | -0.3841 | -0.2430 | 0.0829 | -0.0176 | -1.7680 | -0.3257 | 0.9746 | 0.4862 | -0.7556 | -0.5038 | 0.3430 | 0.1265 | -1.0220 | 0.4076 | -1.0590 | 0.2557 | 0.5379 | 0.2591 | -0.9427 | 0.8284 | 0.0294 | -0.4264 | -0.4164 | 0.0000 | 0.0134 | -0.9426 | -0.2307 | 0.1802 | -1.2700 | -5.1640 | -0.1248 | 0.4868 | -0.7385 | -0.2664 | 0.4148 | 0.4067 | -0.2651 | -0.4749 | -0.7756 | -1.2890 | 0.6985 | 0.0284 | 0.2087 | -0.8303 | -0.2733 | -0.5637 | -0.8866 | -2.5160 | -0.6209 | -0.1428 | -0.7385 | -0.1108 | 0.5086 | 0.0811 | 0.4886 | 0.6869 | 0.5040 | -0.4021 | 1.2190 | 0.7519 | 1.7730 | -0.7739 | 1.0250 | -0.2140 | 0.0086 | -0.4949 | 0.1489 | -1.8890 | -0.1239 | -0.0641 | 0.9610 | -0.0255 | 0.5612 | 1.2830 | 0.5330 | -0.5566 | -0.7392 | -0.3010 | 2.8890 | 1.3400 | 1.4570 | 4.4760 | -1.5700 | 0.6040 | 2.2500 | 0.2751 | -0.2307 | 0.8842 | 1.0470 | 0.8195 | 0.3975 | -0.6864 | -0.4417 | 1.6090 | 0.0000 | 0.1167 | 0.3657 | -0.5192 | -0.6763 | -1.0520 | 1.2730 | -0.3368 | -0.9114 | -0.7419 | 0.6620 | -0.3058 | 0.7158 | 1.6390 | -0.1177 | 0.5713 | 0.8512 | 0.7849 | -0.3873 | -0.4874 | 0.8361 | 0.8780 | -0.2979 | -0.6863 | 0.2327 | 0.9903 | -0.3399 | -0.5250 | 0.0083 | -0.6169 | 1.3990 | 0.1680 | -0.2512 | 0.4597 | 0.5315 | 0.7145 | 0.3622 | 0.0651 | -0.3092 | 1.7750 | 0.5993 | 0.4922 | -0.8939 | -0.1007 | -0.1343 | 1.1520 | 0.1996 | -0.4331 | 0.1165 | -1.0320 | -1.2070 | 0.4614 | 0.0810 | -0.2468 | -1.0270 | 2.1400 | -0.7917 | -1.2830 | -0.3885 | 0.8156 | -0.9331 | -0.7458 | -0.5182 | -0.2459 | 1.7540 | -0.4985 | 0.1818 | -1.9020 | -3.6980 | 0.1066 | 1.3720 | 0.3859 | 0.8492 | 1.6340 | 0.3321 | 1.1220 | 0.5421 | -1.1240 | -0.3101 | -0.6470 | 0.4192 | -0.6892 | 0.1765 | -0.1348 | -0.1582 | 0.4049 | 0.2967 | 0.6300 | 0.7751 | 0.0000 | 0.7150 | -0.3821 | -0.0208 | 0.9317 | -0.1150 | 0.2530 | -0.5545 | -0.7061 | -0.4234 | 0.2350 | -0.1255 | 0.3519 | 0.7924 | 0.8877 | 1.0540 | 0.5625 | -0.4162 | -0.1915 | -0.2098 | 1.0540 | -0.2885 | -1.2540 | 0.2628 | 0.4860 | -0.4954 | -0.1840 | -1.1110 | -0.5649 | -0.2617 | 2.9120 | 2.7720 | 0.1523 | -1.1230 | -0.5340 | -0.7937 | 0.3457 | -0.6136 | -0.0706 | -0.7474 | 0.1795 | -0.4674 | -0.1552 | 0.6338 | 0.5130 | -0.3625 | 0.0873 | 0.2689 | -0.2174 | 0.7069 | -0.6456 | 0.6822 | 0.2237 | -0.3601 | 1.2780 | 2.5770 | 0.2356 | 1.3230 | -1.3730 | -0.2682 | 0.8427 | 0.5797 | 0.3143 | 0.8133 | 0.7923 | -0.1312 | -1.4640 | 0.3394 | -1.7790 | 0.2188 | 0.5826 | -0.7513 | 0.0543 | 0.7182 | -0.4159 | 0.3084 | -0.0899 | -0.0397 | -0.5077 | -0.5072 | 0.0100 | -0.6915 | 0.0643 | -0.8927 | -0.2048 | 0.0773 | 0.5971 | -0.1602 | -0.2028 | -0.2216 | -1.1380 | 0.3668 | -1.0620 | -0.7736 | 0.6225 | 0.6274 | -0.3038 | 0.1171 | -0.0550 | -0.0289 | 1.1740 | -0.7937 | -1.0610 | -0.6409 | 0.3884 | -1.0330 | -0.0055 | 0.1212 | -0.7020 | -0.7065 | -0.5192 | -0.3181 | 0.1787 | 0.3354 | 0.1349 | -0.3569 | -0.8229 | -0.2778 | 0.7047 | -0.9726 | -0.0553 | -0.2143 | 0.0187 | 0.4497 | 0.2585 | -0.5477 | -0.7576 | -0.0444 | 0.1894 | -0.0014 | -2.3640 | -0.4682 | 0.1210 | -0.5177 | -0.0604 | 0.1682 | -0.4436 | 0.4963 | 0.1363 | 0.3335 | 0.9760 | -0.0427 | -0.1235 | 0.0959 | 0.0690 | -0.9416 | -0.7548 | -0.1109 | -0.6272 | 0.3019 | 0.1172 | 0.1093 | -0.3113 | 0.3019 | -0.0873 | -0.7250 | -0.6297 | 0.6103 | 0.0223 | -1.3240 | -0.3174 | -0.6417 | -0.2187 | -1.4080 | 0.6931 |
| 3 | id_0015fd391 | trt_cp | 48 | D1 | -0.5138 | -0.2491 | -0.2656 | 0.5288 | 4.0620 | -0.8095 | -1.9590 | 0.1792 | -0.1321 | -1.0600 | -0.8269 | -0.3584 | -0.8511 | -0.5844 | -2.5690 | 0.8183 | -0.0532 | -0.8554 | 0.1160 | -2.3520 | 2.1200 | -1.1580 | -0.7191 | -0.8004 | -1.4670 | -0.0107 | -0.8995 | 0.2406 | -0.2479 | -1.0890 | -0.7575 | 0.0881 | -2.7370 | 0.8745 | 0.5787 | -1.6740 | -1.6720 | -1.2690 | 3.0900 | -0.3814 | -0.7229 | -0.0010 | 0.1353 | -1.6400 | -0.7483 | -1.0820 | -0.1521 | 0.0747 | -0.4851 | 0.6636 | -2.8230 | -0.6035 | -1.3550 | 2.0200 | -0.5301 | -1.3240 | -0.5936 | 0.4331 | 0.0899 | -1.5240 | 0.3936 | 1.4630 | -1.2100 | -1.2340 | -1.0300 | 0.7977 | 0.2314 | 0.1186 | 1.5370 | 0.3868 | -0.4038 | 0.9767 | -0.9161 | 1.2720 | 1.3670 | -3.3210 | -1.0510 | -0.7074 | 1.0380 | -0.7296 | -0.9796 | 0.1337 | 0.3262 | 0.5635 | 0.8961 | 1.0280 | 0.0508 | -0.4742 | 1.1640 | 0.2764 | 1.6310 | 4.9160 | 2.3690 | 0.6832 | -1.4810 | 1.4310 | 0.1686 | -1.7220 | 0.0892 | -0.8117 | 1.0390 | -0.0851 | 2.0570 | -0.7968 | 0.0000 | 1.6720 | -0.1619 | -0.9467 | -0.4938 | -0.2653 | -0.7025 | -0.3582 | -0.1362 | -2.0530 | 0.2815 | -0.0158 | -0.5371 | -1.8970 | 0.0636 | 0.2328 | -0.7206 | -1.3960 | 0.6489 | -0.2583 | 1.4160 | -1.5420 | 0.4545 | 0.2297 | 0.8581 | 0.2128 | 0.0973 | 3.0850 | 0.0196 | -0.3923 | -1.2910 | 0.2836 | -0.5197 | -0.0278 | 1.0140 | 1.1300 | -0.3831 | -0.2767 | 0.5993 | -0.5146 | 0.4468 | 1.7270 | 1.1450 | 0.8178 | 4.2300 | -1.7170 | -0.3004 | -0.2569 | -3.0280 | -0.2357 | -0.2941 | -1.0680 | -1.6470 | 0.5287 | 4.2110 | -0.5516 | 0.8118 | -0.8374 | 1.0510 | 1.1430 | 0.9099 | -0.2411 | -1.3680 | 1.0670 | 0.2782 | 1.4610 | -0.5527 | -1.0070 | -0.0910 | -1.0610 | 0.7465 | 3.4580 | -0.5228 | 0.3133 | -3.1620 | -1.2130 | 0.0650 | 1.6530 | -0.0022 | 0.0864 | 0.8989 | -0.8746 | -1.4210 | -0.2400 | -0.1266 | -2.5660 | 3.5620 | 2.5130 | -0.1470 | 0.3183 | -0.0179 | -0.7292 | -0.4748 | -0.2785 | -1.3360 | -0.8703 | 0.3079 | 1.0300 | 0.6138 | -0.0781 | 0.6745 | 1.4640 | 0.1835 | 1.5390 | 0.7044 | -0.4105 | 2.2950 | -0.5759 | -1.1730 | 0.0000 | -0.7379 | 0.1739 | -0.8528 | -0.7338 | -0.7139 | 0.2921 | 0.4294 | 0.7911 | 0.5141 | -1.2560 | 1.3320 | 1.0130 | -0.2829 | -0.9621 | -0.6012 | -0.0755 | -0.2506 | 0.4848 | -1.0020 | -0.3075 | 0.7056 | -1.1260 | -0.8238 | 0.6757 | -2.9920 | -0.8815 | -0.1069 | -1.8660 | -1.6800 | 0.8285 | -0.2857 | 0.7501 | -0.2312 | 0.3080 | -0.2261 | -0.9338 | 0.7248 | -0.5338 | 1.4540 | -1.0730 | 0.9034 | 0.6597 | -0.1388 | -1.8380 | 0.1154 | -0.2590 | -0.0906 | 0.6501 | 0.6779 | 0.4718 | -0.5355 | -0.6934 | 1.0450 | 0.5419 | -1.0160 | 0.4607 | 0.3340 | -0.6615 | -0.9769 | -0.5336 | 0.9085 | -0.4634 | 1.2270 | -1.2540 | 0.1619 | 1.9800 | 0.6543 | 2.4890 | -0.8378 | 0.6786 | 0.8357 | -1.0510 | -2.1760 | -1.5850 | -0.1538 | 0.0175 | 1.3440 | 0.7247 | 1.1290 | 0.1487 | -1.1370 | 0.5676 | 0.5035 | -0.8286 | -0.4800 | 0.9560 | 1.5650 | -1.1430 | 2.6370 | -0.0323 | 0.2528 | 0.9815 | 0.4952 | 0.0000 | 0.4769 | -1.8140 | 0.7224 | 0.9167 | -0.8064 | 0.7627 | -1.3140 | 0.3369 | -1.0040 | 0.4941 | -0.6865 | -1.2470 | 0.5177 | 0.8631 | -0.2207 | 1.6890 | 0.0278 | 0.8366 | 0.4719 | -0.9539 | 0.3398 | -2.0160 | 0.0752 | -0.1248 | -3.2040 | 0.9331 | 0.2451 | 1.2840 | -0.1404 | 1.0270 | -1.7620 | -1.6500 | -0.3145 | -0.8277 | 0.3183 | -0.7785 | 0.8227 | -0.6364 | 1.3710 | 0.0733 | 0.3490 | 1.3710 | -0.6559 | -1.1310 | 0.1346 | -1.4920 | -0.2054 | 0.2347 | -0.0750 | -1.9230 | 0.3839 | 0.6633 | -3.7210 | 0.0505 | 0.4819 | 1.3030 | -0.0382 | 0.5461 | -1.3620 | 1.7230 | 0.3278 | -0.3219 | 0.0000 | -0.3682 | 0.0165 | 0.7910 | 1.0430 | -4.2100 | 0.0839 | 0.8239 | -0.0379 | 0.7182 | 0.4608 | 0.0553 | -1.0920 | -0.3756 | -0.8635 | 1.3170 | 0.5511 | 0.3855 | -0.2890 | 2.3880 | -1.2370 | 0.2282 | 5.3910 | 0.1787 | 1.6310 | -0.2385 | 0.3620 | -1.5570 | -0.9610 | -0.0340 | -0.0033 | -2.6650 | 0.2314 | -0.1152 | 0.5762 | -0.8791 | 0.6613 | 0.2965 | 2.1760 | -0.4277 | -0.4053 | 0.8295 | -0.7285 | -0.6666 | 0.3509 | 1.5660 | 0.0664 | 1.8810 | 0.9420 | -0.9474 | 0.9560 | -0.1804 | -0.0288 | 0.0676 | 1.3760 | 0.0486 | 1.3590 | 1.2260 | -2.9690 | -1.8280 | 0.0039 | 1.2260 | -0.4750 | -0.3331 | -1.0780 | -0.3784 | -0.0766 | 1.6780 | 0.2981 | -2.0680 | -0.3044 | -0.2097 | 1.0480 | 0.3950 | 1.3800 | 0.0449 | 0.4697 | -0.3887 | -0.5060 | 0.7361 | -0.1803 | 0.9406 | 1.9660 | 0.3990 | -1.1830 | -0.1672 | 0.2030 | 0.2905 | 0.0012 | -1.4960 | 0.9815 | 0.8393 | -0.9190 | -0.7865 | -0.3507 | -1.3930 | -1.0930 | 1.3840 | 1.6700 | 1.1610 | 2.2210 | 0.3359 | 1.3350 | -0.1171 | -2.0020 | -1.0660 | 0.5548 | -0.5673 | 1.8530 | -1.4260 | 1.5990 | -0.0636 | -0.5135 | -0.5080 | 1.7670 | 0.7666 | -0.3262 | 1.0610 | -0.8242 | 0.0786 | 1.4980 | 1.0900 | -0.1133 | 0.0736 | 0.1619 | 0.6091 | 0.5473 | -0.3697 | -0.4561 | -0.0279 | 0.6199 | -1.6680 | -0.2848 | -1.8370 | -1.2500 | 0.0657 | 0.2881 | 1.9540 | -0.8217 | -0.6751 | -0.9215 | -1.4850 | 1.6700 | 0.4746 | -0.1840 | 1.6050 | -0.7572 | 2.2510 | 0.2775 | 1.0940 | -0.6423 | 3.1370 | -0.8023 | -1.0670 | 0.4539 | -0.5028 | -2.4080 | 3.9550 | 0.4539 | -0.1322 | -0.9284 | 0.4188 | 0.4942 | 2.9250 | -1.4530 | -0.6428 | -0.0132 | 0.3487 | 0.5719 | 0.0626 | -0.8656 | 0.2303 | -1.3900 | 0.3094 | -0.2177 | -0.7207 | 2.3000 | -0.5900 | 0.0718 | 2.2320 | -0.2394 | 2.6350 | 0.1964 | 0.7290 | 0.8339 | 0.6475 | 0.7826 | 0.0964 | -2.3770 | 0.5035 | -0.9751 | -1.4720 | -1.0940 | -0.3539 | -0.0511 | -2.0870 | -1.4650 | -1.1280 | -1.8010 | -1.9290 | 0.2277 | -0.7521 | 0.1606 | -1.1110 | 0.1934 | -2.5680 | -0.6381 | -2.1540 | 0.0803 | -0.0723 | -0.0759 | 0.3699 | 0.4403 | 0.4006 | -0.3634 | 0.7690 | -0.7345 | 0.4005 | 1.2810 | 2.1750 | 0.6065 | 1.8980 | 0.8480 | -0.5012 | 0.5735 | -0.5937 | 0.0654 | 0.0622 | -1.6000 | -1.1830 | 0.0767 | -1.8150 | -0.8354 | 1.7400 | -0.4051 | 0.4205 | 1.8750 | 0.8082 | -1.5450 | -1.3680 | 0.3007 | -0.2897 | 0.9897 | -1.0990 | 1.1170 | -2.3370 | -0.6219 | 1.0080 | 1.8850 | 1.0020 | 0.9497 | -0.3868 | -1.2350 | -0.1629 | -1.3350 | 0.4012 | -1.1110 | -0.9854 | 2.8250 | 0.0419 | -0.2128 | -0.8987 | -1.3500 | 0.5189 | 1.5050 | 0.7685 | -0.6352 | -0.0799 | -0.9627 | 0.0909 | 2.3190 | -0.1951 | -1.2550 | 0.6816 | -0.9182 | 1.4530 | 0.4617 | -0.1585 | 0.1581 | 0.2589 | -1.3220 | -1.3490 | 1.6700 | 1.6140 | -0.0307 | 0.1174 | -4.2470 | 0.1192 | -0.2344 | -0.2993 | -0.7514 | -2.3450 | 1.3640 | 1.0830 | -0.2562 | -0.5434 | 0.1641 | -0.6745 | -1.4150 | -1.3860 | -1.0970 | 1.3760 | -3.5480 | -0.7292 | -2.3340 | 0.3811 | -0.2867 | -0.5258 | -1.7020 | -0.5638 | -3.3060 | -0.3645 | -0.5911 | 1.4210 | 0.1478 | 1.6550 | 0.2889 | 1.1170 | -0.0378 | 2.3980 | 1.2510 | 0.7589 | 1.4650 | 0.1003 | -0.5949 | 0.4992 | -0.7242 | -0.5878 | 0.9478 | -0.7887 | -0.8408 | -0.2256 | 0.3293 | -0.0092 | -1.1560 | -1.2300 | -1.3140 | 0.0000 | 2.2010 | -0.1639 | -0.7305 | 0.9258 | -1.0620 | 0.6889 | -0.9377 | -0.7624 | 0.0610 | -1.3920 | 0.2704 | -0.3988 | 1.0400 | 0.5012 | 0.5485 | 1.5170 | 0.7751 | 1.0230 | 1.8570 | -0.4721 | 0.5465 | 1.9580 | 0.3873 | 0.9512 | 0.2239 | 0.4428 | -0.2822 | -0.8175 | 1.4930 | -0.0711 | -1.6250 | -0.4317 | -0.0239 | 0.5046 | -0.8061 | 0.9736 | 1.2540 | 2.0730 | 0.6604 | -0.4758 | -0.1766 | -0.8959 | 0.6560 | -0.0875 | 0.1082 | -0.7158 | 0.0712 | -0.1939 | 0.4286 | -1.0220 | 0.9017 | 1.1750 | -0.5760 | 0.7801 | -0.1292 | 3.4310 | 1.2720 | -0.4733 | -2.0560 | 0.5699 | 0.1996 | 0.4374 | 0.1588 | -0.0343 | -0.3998 | -4.5520 | -2.7350 | -1.9630 | -2.8610 | -1.2670 | -2.5830 | -0.5036 | -3.1590 | -1.8510 | -2.2730 | -4.6920 | -1.2750 | -1.4970 | -0.0156 | -1.9350 | -1.3430 | -0.5252 | -2.7210 | -0.2524 | 0.9197 | -3.1220 | -1.9180 | -0.6761 | -2.8360 | -1.6890 | -4.4990 | -1.5190 | -2.2730 | -0.3250 | 0.1895 | -2.4220 | 0.0670 | -1.9870 | -0.6482 | -0.0023 | -1.9930 | -0.8042 | -3.6160 | -0.3487 | -1.2560 | -2.7220 | -2.1970 | -2.9030 | -1.1030 | -2.3020 | -2.0030 | -1.3390 | -3.0160 | -3.0040 | -2.8880 | -1.4910 | -1.7960 | -1.3670 | -2.7830 | -3.3290 | 0.1071 | -2.5430 | 0.3747 | -1.7540 | -2.1220 | -0.3752 | -2.3820 | -3.7350 | -2.9740 | -1.4930 | -1.6600 | -3.1660 | 0.2816 | -0.2990 | -1.1870 | -0.5044 | -1.7750 | -1.6120 | -0.9215 | -1.0810 | -3.0520 | -3.4470 | -2.7740 | -1.8460 | -0.5568 | -3.3960 | -2.9510 | -1.1550 | -3.2620 | -1.5390 | -2.4600 | -0.9417 | -1.5550 | 0.2431 | -2.0990 | -0.6441 | -5.6300 | -1.3780 | -0.8632 | -1.2880 | -1.6210 | -0.8784 | -0.3876 | -0.8154 |
| 4 | id_001626bd3 | trt_cp | 72 | D2 | -0.3254 | -0.4009 | 0.9700 | 0.6919 | 1.4180 | -0.8244 | -0.2800 | -0.1498 | -0.8789 | 0.8630 | -0.2219 | -0.5121 | -0.9577 | 1.1750 | 0.2042 | 0.1970 | 0.1244 | -1.7090 | -0.3543 | -0.5160 | -0.3330 | -0.2685 | 0.7649 | 0.2057 | 1.3720 | 0.6835 | 0.8056 | -0.3754 | -1.2090 | 0.2965 | -0.0712 | 0.6389 | 0.6674 | -0.0783 | 1.1740 | -0.7110 | -1.4470 | 1.0620 | 0.7888 | -0.0848 | 0.1302 | 0.1224 | 0.9584 | 0.2126 | 0.6162 | 1.1570 | 1.1140 | -0.9416 | -0.3780 | -0.8147 | -0.0803 | -0.3818 | 0.6877 | 0.0000 | 0.1776 | 1.1320 | -0.1180 | 1.2130 | 0.7709 | 0.6745 | 0.7871 | 1.6410 | 0.1806 | 1.3480 | 1.1070 | 0.5392 | 0.0000 | 0.1255 | -0.1556 | -0.5436 | 0.8585 | 0.5801 | 0.9348 | -0.7508 | -1.1160 | -0.7868 | 0.1675 | -0.3088 | 0.6630 | -1.7000 | 0.4253 | -1.1700 | -0.8736 | 0.6169 | -1.2160 | -0.1491 | -2.2520 | 0.6823 | 1.4800 | 0.9068 | -0.7982 | 0.8025 | 1.2990 | 1.0690 | -0.1518 | -0.8001 | 1.1940 | -0.2334 | 0.2345 | -0.4384 | 0.0968 | -1.1880 | -1.3030 | 0.6187 | 0.0000 | 1.1790 | -0.8521 | -0.2801 | 0.4686 | -0.5360 | -0.2246 | -2.3510 | -0.9180 | 0.3001 | 0.8598 | -2.3350 | -0.6522 | 0.0481 | -1.6780 | 1.1890 | -3.8480 | 0.7353 | -1.0690 | -1.3950 | -0.6294 | 1.1970 | -1.3880 | 1.2030 | 0.6597 | 0.6237 | 1.5330 | 2.0390 | 0.4533 | -1.4210 | -0.1871 | -1.7040 | 0.9155 | 0.3770 | 0.9127 | 0.5022 | 0.0851 | -2.4280 | -0.8599 | -0.3822 | -1.7530 | -0.4152 | -0.5948 | -0.2815 | 0.4478 | 0.0795 | 1.8640 | -1.3230 | 0.7051 | -1.9440 | -0.5804 | -2.4960 | 0.4042 | 0.0000 | 0.9283 | 1.4940 | -0.8757 | -0.3667 | 0.4272 | -0.9715 | 0.3501 | 0.3622 | -0.8955 | 0.1902 | 1.1520 | 0.6745 | 0.6135 | -1.4480 | -0.6243 | -1.6000 | -0.0913 | 0.5282 | 1.6050 | 0.5905 | -0.8969 | -0.9344 | -0.9038 | -0.5732 | -0.6177 | 0.1723 | -0.6239 | -0.8446 | -0.8357 | 0.6745 | 0.5846 | -0.0990 | 0.8706 | 0.4460 | -0.4033 | -0.5549 | 0.2064 | 0.0216 | 1.5880 | -1.0360 | 3.5090 | -2.2770 | 0.8582 | -0.3519 | 0.1611 | -0.6091 | 0.6349 | 2.5350 | 0.8124 | 0.4877 | 0.5398 | -1.6940 | 0.9118 | -0.0297 | -0.8432 | -0.6745 | -0.1088 | -0.2959 | 0.0000 | -3.3670 | 0.6184 | -0.5558 | -1.8510 | 0.8816 | -0.4465 | -0.1110 | 0.9283 | 0.4013 | 0.4805 | -0.4941 | 0.5843 | -0.2956 | -0.5784 | 0.2703 | -1.2210 | 0.2981 | 0.5394 | -0.2124 | -1.7750 | 0.6448 | -0.4229 | 1.1780 | -0.1187 | 1.3120 | -0.3824 | 0.2817 | -0.4712 | -0.2025 | 0.7764 | -0.9704 | -0.3918 | -1.8520 | 0.2075 | -1.9210 | -0.4632 | 0.3245 | 1.0200 | -0.8012 | -0.3692 | 1.5180 | 1.4300 | -0.6103 | 0.0470 | 1.1480 | 0.1320 | -0.3212 | -0.0998 | 0.7510 | 0.1720 | 0.0564 | 0.4967 | 0.4296 | -0.6745 | -0.5648 | 0.3632 | 0.4002 | -1.0400 | 0.5747 | 2.1570 | -0.1172 | -0.5832 | 0.7898 | -0.3740 | 0.7584 | -0.2999 | -0.6644 | 0.2780 | -0.5275 | 0.2495 | 0.1336 | -0.6745 | -0.4059 | 1.7520 | 0.0000 | -0.3425 | -1.7450 | -1.5510 | 0.8668 | -0.4081 | -0.6331 | 1.0620 | 1.4220 | 0.7401 | -1.2510 | -0.6152 | -0.3062 | 0.8265 | -0.4067 | 1.3190 | 0.0000 | -1.9420 | 0.4959 | -0.6125 | 0.5715 | -1.4620 | 0.1636 | 0.3380 | -0.7069 | 1.2150 | 0.4886 | 1.7670 | -1.1000 | -0.1970 | 0.7510 | 0.2686 | -0.0307 | -0.4054 | 0.4745 | -1.4690 | 1.3610 | 0.2954 | -0.6984 | -0.2638 | -0.4027 | 0.0000 | 0.0000 | -0.6595 | 0.0814 | -1.1190 | -0.1619 | -0.1737 | -1.1710 | 0.0000 | -0.4046 | 1.5690 | 0.2072 | 1.0200 | -0.3954 | 0.4725 | 1.2250 | -0.1595 | -1.2180 | -1.7060 | -0.5808 | 0.2080 | 0.5858 | -0.9161 | -0.4027 | -1.6030 | 0.0000 | 0.0726 | -1.0880 | 0.7548 | -3.0190 | -0.1245 | 0.4229 | 0.8929 | 0.3510 | 0.9119 | 0.4195 | -0.8983 | 0.1720 | -0.7305 | 0.4470 | -0.4431 | 1.2480 | 0.5380 | 0.5362 | -0.3009 | 0.6166 | 0.0873 | -0.0925 | 0.0793 | -0.1917 | -0.9976 | -1.3930 | 0.0000 | -1.1660 | -1.6810 | -1.5350 | -1.0990 | 0.3597 | 0.1084 | -0.0231 | -0.5027 | -1.1990 | 0.7772 | 1.0630 | 1.1580 | -1.0530 | 0.7561 | 4.1550 | -1.7970 | 1.1130 | -1.7720 | -0.4640 | 0.7851 | -0.0424 | 0.9072 | 0.1443 | 1.4130 | -0.9213 | 0.3470 | 0.9218 | 0.3226 | -0.0584 | 0.8650 | 1.6120 | -0.5096 | 0.0333 | -0.1938 | 1.6760 | 0.5895 | 0.5527 | 0.2188 | 0.0837 | 0.9530 | 0.5553 | -0.6962 | 1.5520 | 1.6940 | -1.4790 | -1.0360 | -0.7548 | 0.3278 | -0.2446 | 1.2470 | 0.0000 | 1.1840 | -0.5506 | -0.5521 | 0.1645 | 0.1631 | -0.2358 | -0.4004 | -0.6745 | 0.6745 | -0.3815 | 0.9565 | -0.2797 | 0.0558 | -0.7133 | -1.1760 | -3.6890 | 1.4900 | 0.0856 | 0.1767 | 1.6960 | -0.3000 | 0.0614 | -0.6768 | -0.5181 | -0.6745 | -1.6460 | -1.1110 | 0.0000 | -0.7498 | -1.0240 | -0.9353 | 0.7450 | -1.4720 | 0.0630 | -0.2657 | 0.9111 | -0.5700 | 0.0000 | -0.8002 | 0.6071 | -0.1591 | -0.1187 | 1.0380 | -0.6050 | 1.2600 | -0.4651 | 0.3986 | -0.5505 | 0.5760 | 0.1933 | -0.7694 | 0.5110 | -1.3650 | 0.6212 | -0.9800 | 0.6034 | -0.5548 | -1.0310 | -0.3904 | -0.4773 | 0.6852 | 0.1374 | -0.7720 | -0.5254 | 0.0000 | 0.4195 | 0.3163 | -0.1094 | -0.9861 | -0.6909 | 0.2282 | 0.9321 | 1.8970 | 0.3187 | -0.4870 | 1.5050 | 0.2405 | 0.5617 | 0.6745 | 0.0833 | -0.0466 | -0.8141 | -0.2938 | -0.6792 | 0.4915 | -2.7000 | 0.1562 | -1.4080 | 1.0500 | 0.5477 | -0.8977 | 1.4860 | -0.2971 | -0.5299 | 0.4005 | 0.2532 | 1.4420 | 0.3289 | -0.1665 | -0.6019 | 0.0000 | 0.1225 | 0.6300 | -0.2422 | 0.3357 | -1.2510 | 0.1316 | 0.7018 | 0.0000 | 0.3027 | 0.6011 | -0.5173 | -0.5995 | 0.6047 | -0.2077 | 0.2008 | -1.2640 | 1.7660 | 0.3190 | -0.6460 | 0.1444 | -0.1706 | 0.0000 | 0.4796 | 1.0180 | -1.4320 | 1.4450 | -0.2960 | 1.3160 | -0.3709 | 0.0000 | -1.6110 | 0.3017 | 0.4162 | -0.0589 | -1.2810 | -0.5646 | 1.3920 | 0.2573 | -1.8630 | -1.4060 | -0.8639 | -0.4986 | 0.9745 | 1.4920 | 0.3711 | 0.0279 | 0.6801 | -0.1431 | 1.0410 | 0.3855 | 0.7553 | 1.6860 | 0.4932 | -0.2651 | 1.1830 | 0.9738 | 0.5241 | 0.3419 | -0.5831 | -0.2508 | -1.3410 | -1.1640 | -0.1668 | -0.0342 | 0.8249 | -0.0131 | 0.0000 | 0.9043 | 0.1662 | -0.3453 | 1.3360 | -0.3655 | -0.6961 | -0.4308 | 0.0000 | 0.7822 | -0.6745 | 0.8924 | -0.2111 | 0.7271 | 1.6740 | 2.2850 | -0.6745 | -0.4634 | -1.6900 | -0.3649 | -0.9032 | -0.1633 | -1.3880 | -1.1370 | -1.2700 | -0.6423 | -1.3100 | -1.6090 | 0.9920 | 1.1970 | 1.1150 | -0.9618 | -0.3988 | -0.0109 | 0.3399 | -0.5405 | 1.1190 | 0.6789 | 0.3917 | -1.9460 | -0.2215 | -0.1782 | -1.0270 | -0.4773 | -1.5490 | -0.9117 | -0.7926 | -1.1970 | 0.8247 | 0.4431 | 1.4850 | -0.0666 | 0.7227 | -0.8094 | 0.4121 | 0.2566 | 1.0350 | -0.6698 | -1.0020 | -0.7150 | 0.9726 | -0.0550 | -0.8861 | 0.7264 | 1.0160 | 0.4907 | 1.0350 | 0.1357 | 0.5929 | -1.7070 | -0.3966 | -10.0000 | 0.0472 | 0.5929 | 1.3980 | 0.8074 | -1.6370 | 0.8040 | -1.6680 | 0.9047 | 1.9140 | -2.1710 | 1.4720 | 0.0429 | 0.7096 | -0.4162 | 0.7050 | -0.3331 | 0.3867 | -0.5725 | 0.9043 | -0.4639 | 1.0570 | 0.2984 | -0.1268 | 0.8745 | -0.3670 | -0.6745 | 0.2748 | 0.8101 | 1.7040 | -0.3871 | -0.6745 | -0.7185 | 0.0000 | -0.3093 | 0.0614 | -1.0190 | 0.9962 | -0.9680 | 1.4920 | 0.2381 | -0.0645 | -0.2846 | 1.3330 | 0.0000 | 0.6653 | 0.1693 | 0.0000 | -0.4773 | 0.0743 | 0.4294 | -0.8562 | 0.9180 | 0.4062 | 0.2048 | -0.9851 | -1.1220 | 0.9106 | -0.2094 | 1.1270 | 0.1874 | -0.0465 | 1.0560 | -0.6324 | -0.3651 | 0.9485 | -0.6745 | 0.0479 | -1.0470 | -1.2440 | -0.7675 | 0.2327 | 0.3698 | 1.4900 | 0.3632 | 1.4380 | -0.5047 | -0.2092 | -0.4386 | -1.1780 | 0.8236 | 1.0540 | 0.6745 | -0.6354 | -0.6745 | -1.3780 | 0.7521 | -0.9456 | -0.6904 | 2.0540 | -0.3131 | -0.0809 | 0.3910 | 1.7660 | -1.0020 | -0.7534 | 0.5000 | -0.6269 | -0.3774 | 0.7364 | -0.1659 | 0.2341 | 1.0060 | 0.3204 | -0.0852 | -0.2284 | -0.2533 | -0.3174 | 0.9642 | -0.0853 | 0.1559 | 0.1419 | 0.1197 | 0.6774 | 0.1332 | -0.5176 | 0.1232 | 0.0827 | 0.6995 | 0.5953 | 1.0600 | -0.4255 | 0.8624 | 1.0010 | 0.0840 | -0.6553 | -0.1093 | 0.0587 | 0.5490 | 0.6331 | 0.5227 | 0.2186 | 0.2781 | 0.8947 | -0.0202 | 0.5966 | 0.2249 | 0.5671 | 0.6382 | -0.3909 | 0.7040 | 0.1462 | 0.0655 | -0.5605 | 0.5903 | -0.2353 | -0.1285 | -0.1740 | 0.3559 | 0.0204 | 0.3385 | -0.2290 | -0.3813 | -0.0856 | 1.1080 | -0.4190 | 0.8741 | 0.9074 | -0.2274 | 0.3215 | 0.1535 | -0.4640 | -0.5943 | 0.3973 | 0.1500 | 0.5178 | 0.5159 | 0.6091 | 0.1813 | -0.4249 | 0.7832 | 0.6529 | 0.5648 | 0.4817 | 0.0587 | 0.5303 | 0.6376 | -0.3966 | -1.4950 | -0.9625 | -0.0541 | 0.6273 | 0.4563 | 0.0698 | 0.8134 | 0.1924 | 0.6054 | -0.1824 | 0.0042 | 0.0048 | 0.6670 | 1.0690 | 0.5523 | -0.3031 | 0.1094 | 0.2885 | -0.3786 | 0.7125 |
Features g- signify gene expression data, and c- signify cell viability data. cp_type indicates samples treated with a compound (cp_vehicle) or with a control perturbation (ctrl_vehicle); control perturbations have no MoAs; cp_time and cp_dose indicate treatment duration (24, 48, 72 hours) and dose (high or low).
To get the corresponding known MOA notation of each drug, I use Dr.Insight, which is a useful package in R that provides pathway analysis where the mechanisms of identified drugs are investigated at pathway level. Since DepMap and Dr.Insight both have the NCI pathway interaction database (PID) embeded, calling
#path.analysis.res = pathway.analysis(drug.ident.res = drug.ident.res, pathway.list =pathway.PID, pathway.list.path = NULL, drug.FDR.cutoff = 0.1)
and rearranging by setting drug-pathway adjacency table with values ‘1’, ‘0’ ‘-1’ (where ‘1’ means a drug up-regulates a pathway, ‘-1’ means down-regulation and ‘0’ means no significant regulation relationship), I got the training and target dataset.
train_target = pd.read_csv('train_targets_scored.csv')
train_features,test_features,train_target,test_target=train_test_split(train_features,train_target,test_size=0.2)
df = pd.concat([train_features, test_features])
test_features.head()
| sig_id | cp_type | cp_time | cp_dose | g-0 | g-1 | g-2 | g-3 | g-4 | g-5 | g-6 | g-7 | g-8 | g-9 | g-10 | g-11 | g-12 | g-13 | g-14 | g-15 | g-16 | g-17 | g-18 | g-19 | g-20 | g-21 | g-22 | g-23 | g-24 | g-25 | g-26 | g-27 | g-28 | g-29 | g-30 | g-31 | g-32 | g-33 | g-34 | g-35 | g-36 | g-37 | g-38 | g-39 | g-40 | g-41 | g-42 | g-43 | g-44 | g-45 | g-46 | g-47 | g-48 | g-49 | g-50 | g-51 | g-52 | g-53 | g-54 | g-55 | g-56 | g-57 | g-58 | g-59 | g-60 | g-61 | g-62 | g-63 | g-64 | g-65 | g-66 | g-67 | g-68 | g-69 | g-70 | g-71 | g-72 | g-73 | g-74 | g-75 | g-76 | g-77 | g-78 | g-79 | g-80 | g-81 | g-82 | g-83 | g-84 | g-85 | g-86 | g-87 | g-88 | g-89 | g-90 | g-91 | g-92 | g-93 | g-94 | g-95 | g-96 | g-97 | g-98 | g-99 | g-100 | g-101 | g-102 | g-103 | g-104 | g-105 | g-106 | g-107 | g-108 | g-109 | g-110 | g-111 | g-112 | g-113 | g-114 | g-115 | g-116 | g-117 | g-118 | g-119 | g-120 | g-121 | g-122 | g-123 | g-124 | g-125 | g-126 | g-127 | g-128 | g-129 | g-130 | g-131 | g-132 | g-133 | g-134 | g-135 | g-136 | g-137 | g-138 | g-139 | g-140 | g-141 | g-142 | g-143 | g-144 | g-145 | g-146 | g-147 | g-148 | g-149 | g-150 | g-151 | g-152 | g-153 | g-154 | g-155 | g-156 | g-157 | g-158 | g-159 | g-160 | g-161 | g-162 | g-163 | g-164 | g-165 | g-166 | g-167 | g-168 | g-169 | g-170 | g-171 | g-172 | g-173 | g-174 | g-175 | g-176 | g-177 | g-178 | g-179 | g-180 | g-181 | g-182 | g-183 | g-184 | g-185 | g-186 | g-187 | g-188 | g-189 | g-190 | g-191 | g-192 | g-193 | g-194 | g-195 | g-196 | g-197 | g-198 | g-199 | g-200 | g-201 | g-202 | g-203 | g-204 | g-205 | g-206 | g-207 | g-208 | g-209 | g-210 | g-211 | g-212 | g-213 | g-214 | g-215 | g-216 | g-217 | g-218 | g-219 | g-220 | g-221 | g-222 | g-223 | g-224 | g-225 | g-226 | g-227 | g-228 | g-229 | g-230 | g-231 | g-232 | g-233 | g-234 | g-235 | g-236 | g-237 | g-238 | g-239 | g-240 | g-241 | g-242 | g-243 | g-244 | g-245 | g-246 | g-247 | g-248 | g-249 | g-250 | g-251 | g-252 | g-253 | g-254 | g-255 | g-256 | g-257 | g-258 | g-259 | g-260 | g-261 | g-262 | g-263 | g-264 | g-265 | g-266 | g-267 | g-268 | g-269 | g-270 | g-271 | g-272 | g-273 | g-274 | g-275 | g-276 | g-277 | g-278 | g-279 | g-280 | g-281 | g-282 | g-283 | g-284 | g-285 | g-286 | g-287 | g-288 | g-289 | g-290 | g-291 | g-292 | g-293 | g-294 | g-295 | g-296 | g-297 | g-298 | g-299 | g-300 | g-301 | g-302 | g-303 | g-304 | g-305 | g-306 | g-307 | g-308 | g-309 | g-310 | g-311 | g-312 | g-313 | g-314 | g-315 | g-316 | g-317 | g-318 | g-319 | g-320 | g-321 | g-322 | g-323 | g-324 | g-325 | g-326 | g-327 | g-328 | g-329 | g-330 | g-331 | g-332 | g-333 | g-334 | g-335 | g-336 | g-337 | g-338 | g-339 | g-340 | g-341 | g-342 | g-343 | g-344 | g-345 | g-346 | g-347 | g-348 | g-349 | g-350 | g-351 | g-352 | g-353 | g-354 | g-355 | g-356 | g-357 | g-358 | g-359 | g-360 | g-361 | g-362 | g-363 | g-364 | g-365 | g-366 | g-367 | g-368 | g-369 | g-370 | g-371 | g-372 | g-373 | g-374 | g-375 | g-376 | g-377 | g-378 | g-379 | g-380 | g-381 | g-382 | g-383 | g-384 | g-385 | g-386 | g-387 | g-388 | g-389 | g-390 | g-391 | g-392 | g-393 | g-394 | g-395 | g-396 | g-397 | g-398 | g-399 | g-400 | g-401 | g-402 | g-403 | g-404 | g-405 | g-406 | g-407 | g-408 | g-409 | g-410 | g-411 | g-412 | g-413 | g-414 | g-415 | g-416 | g-417 | g-418 | g-419 | g-420 | g-421 | g-422 | g-423 | g-424 | g-425 | g-426 | g-427 | g-428 | g-429 | g-430 | g-431 | g-432 | g-433 | g-434 | g-435 | g-436 | g-437 | g-438 | g-439 | g-440 | g-441 | g-442 | g-443 | g-444 | g-445 | g-446 | g-447 | g-448 | g-449 | g-450 | g-451 | g-452 | g-453 | g-454 | g-455 | g-456 | g-457 | g-458 | g-459 | g-460 | g-461 | g-462 | g-463 | g-464 | g-465 | g-466 | g-467 | g-468 | g-469 | g-470 | g-471 | g-472 | g-473 | g-474 | g-475 | g-476 | g-477 | g-478 | g-479 | g-480 | g-481 | g-482 | g-483 | g-484 | g-485 | g-486 | g-487 | g-488 | g-489 | g-490 | g-491 | g-492 | g-493 | g-494 | g-495 | g-496 | g-497 | g-498 | g-499 | g-500 | g-501 | g-502 | g-503 | g-504 | g-505 | g-506 | g-507 | g-508 | g-509 | g-510 | g-511 | g-512 | g-513 | g-514 | g-515 | g-516 | g-517 | g-518 | g-519 | g-520 | g-521 | g-522 | g-523 | g-524 | g-525 | g-526 | g-527 | g-528 | g-529 | g-530 | g-531 | g-532 | g-533 | g-534 | g-535 | g-536 | g-537 | g-538 | g-539 | g-540 | g-541 | g-542 | g-543 | g-544 | g-545 | g-546 | g-547 | g-548 | g-549 | g-550 | g-551 | g-552 | g-553 | g-554 | g-555 | g-556 | g-557 | g-558 | g-559 | g-560 | g-561 | g-562 | g-563 | g-564 | g-565 | g-566 | g-567 | g-568 | g-569 | g-570 | g-571 | g-572 | g-573 | g-574 | g-575 | g-576 | g-577 | g-578 | g-579 | g-580 | g-581 | g-582 | g-583 | g-584 | g-585 | g-586 | g-587 | g-588 | g-589 | g-590 | g-591 | g-592 | g-593 | g-594 | g-595 | g-596 | g-597 | g-598 | g-599 | g-600 | g-601 | g-602 | g-603 | g-604 | g-605 | g-606 | g-607 | g-608 | g-609 | g-610 | g-611 | g-612 | g-613 | g-614 | g-615 | g-616 | g-617 | g-618 | g-619 | g-620 | g-621 | g-622 | g-623 | g-624 | g-625 | g-626 | g-627 | g-628 | g-629 | g-630 | g-631 | g-632 | g-633 | g-634 | g-635 | g-636 | g-637 | g-638 | g-639 | g-640 | g-641 | g-642 | g-643 | g-644 | g-645 | g-646 | g-647 | g-648 | g-649 | g-650 | g-651 | g-652 | g-653 | g-654 | g-655 | g-656 | g-657 | g-658 | g-659 | g-660 | g-661 | g-662 | g-663 | g-664 | g-665 | g-666 | g-667 | g-668 | g-669 | g-670 | g-671 | g-672 | g-673 | g-674 | g-675 | g-676 | g-677 | g-678 | g-679 | g-680 | g-681 | g-682 | g-683 | g-684 | g-685 | g-686 | g-687 | g-688 | g-689 | g-690 | g-691 | g-692 | g-693 | g-694 | g-695 | g-696 | g-697 | g-698 | g-699 | g-700 | g-701 | g-702 | g-703 | g-704 | g-705 | g-706 | g-707 | g-708 | g-709 | g-710 | g-711 | g-712 | g-713 | g-714 | g-715 | g-716 | g-717 | g-718 | g-719 | g-720 | g-721 | g-722 | g-723 | g-724 | g-725 | g-726 | g-727 | g-728 | g-729 | g-730 | g-731 | g-732 | g-733 | g-734 | g-735 | g-736 | g-737 | g-738 | g-739 | g-740 | g-741 | g-742 | g-743 | g-744 | g-745 | g-746 | g-747 | g-748 | g-749 | g-750 | g-751 | g-752 | g-753 | g-754 | g-755 | g-756 | g-757 | g-758 | g-759 | g-760 | g-761 | g-762 | g-763 | g-764 | g-765 | g-766 | g-767 | g-768 | g-769 | g-770 | g-771 | c-0 | c-1 | c-2 | c-3 | c-4 | c-5 | c-6 | c-7 | c-8 | c-9 | c-10 | c-11 | c-12 | c-13 | c-14 | c-15 | c-16 | c-17 | c-18 | c-19 | c-20 | c-21 | c-22 | c-23 | c-24 | c-25 | c-26 | c-27 | c-28 | c-29 | c-30 | c-31 | c-32 | c-33 | c-34 | c-35 | c-36 | c-37 | c-38 | c-39 | c-40 | c-41 | c-42 | c-43 | c-44 | c-45 | c-46 | c-47 | c-48 | c-49 | c-50 | c-51 | c-52 | c-53 | c-54 | c-55 | c-56 | c-57 | c-58 | c-59 | c-60 | c-61 | c-62 | c-63 | c-64 | c-65 | c-66 | c-67 | c-68 | c-69 | c-70 | c-71 | c-72 | c-73 | c-74 | c-75 | c-76 | c-77 | c-78 | c-79 | c-80 | c-81 | c-82 | c-83 | c-84 | c-85 | c-86 | c-87 | c-88 | c-89 | c-90 | c-91 | c-92 | c-93 | c-94 | c-95 | c-96 | c-97 | c-98 | c-99 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3383 | id_24647064e | ctl_vehicle | 48 | D1 | -0.6660 | -0.5623 | -0.5062 | 1.3060 | -0.1963 | -0.9721 | 0.3686 | -0.8863 | 0.4302 | 2.1590 | 1.1510 | -0.8814 | -0.0105 | 0.7462 | 0.5334 | 0.7018 | 0.3639 | 0.8036 | -0.4219 | -0.0679 | 1.0540 | -0.1986 | -0.4418 | -0.1805 | 0.1920 | -0.5977 | 0.1217 | 0.9742 | 0.5312 | 0.1736 | 0.8788 | -0.3401 | -0.5113 | -0.5301 | 0.3517 | -0.8194 | 0.0506 | 0.0123 | 0.2527 | 0.0809 | 0.7966 | 0.4461 | -0.1623 | -1.6330 | 1.7940 | 1.1540 | -0.7710 | 0.4322 | 1.0610 | 0.8001 | 0.8510 | 0.3158 | -1.1940 | 0.8474 | -0.4549 | 0.3782 | 0.0092 | 1.8400 | 0.7288 | -0.4543 | 0.4633 | -0.3566 | -0.8650 | -2.5770 | -0.3539 | -1.0810 | 0.7314 | 0.0249 | -1.2900 | 0.2039 | 0.2045 | 1.0700 | -0.1020 | -0.2340 | 0.8643 | 1.0350 | 0.2681 | -0.2841 | 0.5092 | -0.1892 | -0.0765 | 0.0486 | -0.5925 | 0.2103 | 0.2102 | -0.5710 | 0.8464 | -0.1058 | 1.3360 | -0.1644 | -0.3079 | 0.1464 | 0.2517 | 2.1720 | -1.3000 | 0.5220 | 0.0843 | -0.7559 | -0.1017 | 1.0600 | -1.9360 | -0.1825 | 0.5863 | 0.1060 | -0.3875 | 1.8610 | -0.2866 | 0.5304 | 0.7675 | -1.5820 | 0.5264 | 0.7230 | -0.9645 | 1.0020 | 0.8775 | -0.1171 | -0.9958 | 0.0906 | 0.6421 | -1.3420 | -1.4130 | 0.6813 | -0.2783 | -0.0673 | -0.4842 | -0.0693 | -0.2886 | -0.2465 | -0.6945 | -2.2310 | -0.9217 | 0.3298 | 0.5875 | 2.1160 | -0.8528 | 0.4060 | 1.2650 | -0.2682 | 0.2270 | 0.4792 | 0.4624 | -0.4446 | 0.7944 | 0.2110 | 0.6841 | -0.3024 | -0.0921 | 0.7250 | 0.9878 | 0.7236 | 0.6665 | 0.0590 | 1.1630 | -1.4240 | -0.6961 | 0.1830 | -0.1581 | 0.2792 | -0.5916 | 0.1745 | 0.0862 | 1.2440 | -0.1167 | 0.5936 | -0.8584 | -0.6071 | 0.0638 | 1.4670 | 0.4533 | -1.2220 | 1.0450 | -0.1629 | -0.6361 | -0.4534 | -0.5415 | -0.0289 | 0.5590 | 1.1280 | 0.3374 | 1.2780 | 0.0736 | -0.9177 | -0.0866 | 1.8560 | -0.1854 | 0.6488 | 1.0080 | 0.3749 | 0.9378 | 0.0823 | 0.4294 | 0.1300 | 0.2325 | -1.1220 | 0.0593 | -1.0870 | 0.6004 | -0.3185 | 0.4770 | 1.0870 | 0.6206 | 0.6220 | 0.7078 | 0.4909 | 0.8044 | -0.3582 | 0.0953 | -1.0770 | 0.0628 | 0.0446 | 0.3004 | 0.9076 | -1.9340 | 0.0671 | 0.5028 | 0.7079 | -1.1510 | -1.5660 | 0.6421 | 0.4297 | 0.2946 | -0.5376 | -0.9001 | 0.3982 | 1.1650 | -0.0398 | -0.2515 | -0.0587 | 0.4777 | -1.1990 | -0.4303 | -0.3327 | -1.1790 | -0.4054 | -0.9766 | -0.0711 | 0.3435 | 0.0000 | 0.3241 | -2.5240 | 0.0689 | -0.2788 | -1.0780 | 0.7728 | 0.6563 | -0.3814 | 1.1410 | -0.7326 | 1.2900 | 0.1753 | 0.7333 | -1.4760 | 0.9912 | 1.0140 | 1.0950 | 0.4251 | 0.1409 | 1.3670 | 1.2450 | 0.4096 | -1.1800 | -1.4960 | -0.3956 | 0.4467 | -0.7259 | -0.8834 | 0.3036 | 1.0040 | -0.6378 | 1.4610 | 0.2290 | -0.4228 | -0.1204 | 0.7501 | 0.1005 | -0.7145 | -0.3932 | -1.1720 | 0.1933 | 0.5857 | -0.1387 | 0.5601 | 1.1580 | 0.1547 | 0.8024 | -0.1306 | -1.8740 | 0.0034 | 0.9301 | 0.3635 | -0.1387 | 0.8513 | 0.5578 | 1.5420 | 0.8477 | 1.0020 | -0.4114 | -0.5678 | 1.3280 | 0.5716 | 1.0200 | 0.6906 | 1.0240 | -0.7630 | 1.0350 | 0.3669 | -0.9324 | -0.2654 | 0.9764 | -0.4126 | 1.4500 | -2.0770 | -0.0395 | 1.1930 | 0.9000 | -1.0740 | -0.5854 | 0.1484 | -1.0360 | 0.5347 | 1.0400 | 0.1244 | 0.2402 | -0.1915 | 0.0590 | -0.6214 | -0.1856 | 0.6414 | -1.2510 | 0.5763 | -1.0400 | 0.1268 | -0.4702 | -1.7540 | 0.3424 | 0.2330 | -2.1660 | -0.0403 | 0.0951 | -0.6534 | 0.7822 | -0.2370 | 0.4344 | 0.3666 | 0.3591 | 1.1810 | -0.2481 | 1.1340 | 0.2777 | 0.3740 | 0.4747 | -0.0460 | -0.7696 | 0.6206 | 0.8611 | 0.4129 | -0.9983 | 1.0360 | 0.4336 | 0.1711 | 0.0159 | -0.8430 | 0.5467 | -0.5871 | 1.1830 | -1.9790 | 0.5585 | -0.4533 | 0.2762 | 0.9381 | 0.2654 | 1.4300 | 1.0040 | -0.0442 | -0.5060 | 0.0632 | 0.1703 | -1.2310 | 0.0387 | -0.4650 | -0.2979 | -0.3152 | -2.0480 | -0.4590 | 1.4610 | -1.2440 | 0.1319 | 0.3826 | 0.3206 | 0.8413 | 0.9802 | 1.2510 | 0.5086 | 0.1875 | -0.0621 | 1.1350 | 0.6122 | -1.1880 | -0.5868 | -2.7040 | 1.1050 | -0.5739 | 0.6248 | -1.1930 | -0.9150 | 0.4035 | 1.7580 | -0.3989 | 0.2996 | -0.1668 | 1.4070 | 0.8037 | -0.3618 | 0.2785 | 0.9586 | 0.3209 | -0.3061 | -0.5008 | -1.3510 | 0.0003 | 0.6186 | -1.5360 | -0.8297 | 1.1080 | 0.4972 | -0.0457 | -0.6496 | -0.7072 | -0.3147 | -1.0530 | -0.1262 | -0.9322 | 0.0382 | 0.1692 | -0.1113 | 1.1490 | 0.7038 | 0.8797 | -0.5083 | 1.1440 | -1.6020 | 0.4617 | 1.7790 | -0.5784 | 0.3022 | -0.0717 | -0.0135 | -1.2880 | 0.4830 | -0.4455 | -0.7495 | 1.1270 | 0.1757 | -0.2210 | -1.8750 | 0.6770 | 0.9233 | -1.7890 | 1.3090 | 1.6760 | 0.3224 | -0.0420 | -0.2697 | 0.6307 | -0.2440 | 1.2270 | -0.7081 | 0.1170 | -0.5644 | 0.2936 | -0.4988 | -2.1540 | -1.5580 | 0.7309 | -0.4546 | 0.0485 | 1.2640 | 0.2693 | -0.2919 | -0.1944 | 0.5793 | -0.1038 | 0.8053 | -1.2910 | -0.6202 | 0.1137 | -0.8018 | -0.4002 | 0.8402 | 1.5440 | -0.7341 | 1.1250 | 0.3417 | -0.4835 | -0.6076 | 0.1096 | 0.1061 | 0.2591 | 0.8874 | -0.8462 | 0.1810 | 0.0265 | 0.3580 | -0.1562 | -1.6870 | 0.8687 | 0.6974 | 1.6650 | -0.0001 | 0.2097 | 1.8270 | 0.8515 | 0.3206 | -1.1280 | -0.3275 | 0.4085 | 0.0614 | 1.2290 | -0.0823 | 0.4365 | 1.7770 | -1.0970 | 0.1608 | 0.2915 | 0.7908 | -0.5041 | -0.2032 | -0.8128 | 0.5599 | 0.5537 | 0.3102 | 1.2010 | -0.0312 | -0.0332 | 0.0621 | 0.5613 | -0.5088 | 0.6265 | 0.4003 | -0.2993 | -0.7164 | -0.0131 | 0.6359 | 0.6978 | -0.1168 | 1.2360 | -0.4823 | 0.7872 | -0.1670 | 0.3596 | -1.0580 | 0.0585 | 0.1039 | -1.2870 | -0.2054 | -0.5878 | -0.9798 | -0.1711 | 0.0442 | -1.0050 | -0.1455 | 1.3160 | 0.5852 | 0.5749 | 0.2090 | 0.4345 | -1.2940 | 0.0650 | -1.0120 | 0.8648 | -0.4339 | 0.8666 | 0.3563 | 0.0003 | -0.3857 | 1.3260 | -0.0398 | -1.1300 | 0.4999 | 0.3323 | -0.0003 | 0.8414 | -0.6449 | 1.0610 | 0.1500 | -0.7810 | -0.8400 | 0.1220 | 0.5194 | 0.5460 | 0.5641 | 0.7466 | -0.2422 | -0.2072 | 0.4138 | -1.7980 | -0.4563 | 0.0545 | 0.5992 | -0.7673 | -0.2408 | 0.9716 | 0.2716 | -0.4431 | -0.6834 | 0.0575 | 0.6484 | -0.8608 | -0.7356 | 0.4380 | 0.7667 | -1.4080 | 0.3512 | -0.5299 | 0.1527 | 0.1057 | -0.1570 | 0.2584 | -0.7372 | 0.1268 | -2.0960 | 0.6425 | -0.4374 | -0.4030 | -0.6217 | 0.5628 | -0.1587 | -0.1766 | 0.7631 | 0.3070 | -0.9172 | -0.3042 | 0.2210 | 0.4750 | -0.8611 | -0.7324 | -0.0362 | -0.0291 | -0.1247 | 0.8460 | 1.1190 | 1.6070 | 0.7738 | -0.6143 | 1.1980 | 0.5293 | -0.2239 | -1.6380 | 0.4912 | -0.3744 | -2.4350 | 0.4385 | 1.0660 | -0.2603 | -1.3620 | -0.9581 | 0.0752 | 1.5750 | 0.0600 | 2.0120 | 0.2992 | -0.8572 | 1.2730 | 0.4433 | 0.5297 | -0.4600 | -0.1328 | 1.2790 | -0.0698 | 0.4112 | 1.1600 | 0.9016 | 0.5648 | 0.3314 | 1.3070 | 0.3259 | -1.0390 | 0.0413 | 0.9509 | 1.3200 | 0.2273 | -0.2700 | -0.2458 | 0.5069 | 0.4077 | -0.5128 | 0.7830 | 0.4648 | -0.3130 | -0.1983 | 0.6791 | -0.8221 | 0.4008 | -1.1360 | -0.6615 | 1.5490 | 1.0200 | 0.2768 | 1.5430 | 0.0473 | 0.2112 | 0.1820 | 0.0653 | -0.0173 | 0.2871 | 0.4475 | 0.6001 | 3.329 | -0.4831 | -0.4591 | -0.6414 | -0.5045 | -0.8397 | -0.5793 | 0.4471 | 1.1950 | 0.6373 | -0.7801 | -0.9102 | 0.5504 | -0.4996 | -0.2626 | -0.6780 | -0.6745 | 0.8349 | 0.1068 | 0.3376 | 1.1840 | -1.9520 | -1.0660 | -0.7127 | 0.2418 | 0.4393 | 0.1580 | 0.1488 | 0.7155 | -0.5624 | -1.1870 | 0.7284 | 0.3093 | -1.4340 | 0.6177 | 0.2275 | -0.3122 | 0.1596 | 1.7910 | -0.5101 | 0.5902 | 2.0360 | 0.2917 | 0.0658 | 0.6443 | -0.9151 | -0.2144 | 0.6539 | 1.0580 | -0.4435 | 1.5090 | -0.2840 | 0.5006 | 0.8513 | -1.4660 | 0.3975 | 0.1149 | -2.0660 | 0.0203 | 0.8171 | 0.1100 | 0.0024 | 0.3215 | 0.1853 | -0.0540 | 0.5065 | 0.2220 | -0.0302 | 0.4638 | -0.0487 | 0.7938 | -0.2758 | 0.7938 | 0.3334 | -0.0684 | 0.6161 | -0.4847 | 1.4940 | 1.0750 | 0.3683 | 0.5789 | -1.5160 | 0.1457 | 1.1580 | 0.6235 | 0.5771 | 0.3235 | 0.5078 | 0.9113 | 0.0658 | -0.0705 | 0.8656 | 0.8365 | 0.2432 | 1.6110 | 0.0477 | 0.2455 | -0.0812 | 0.9469 | -0.6473 | -0.4537 | 0.2296 | 0.2559 | 0.4136 | 0.7859 | 0.3357 | 0.7402 | 0.7299 | 0.2453 | 0.2445 | -0.2285 | 0.2145 | 0.9711 | 0.5459 | 0.8302 | 0.9044 | 1.2720 | 0.0098 | 1.1180 | -1.0580 | 0.6601 | 1.0130 | 0.0811 | 0.8557 | -0.0956 | 0.0714 | -0.1374 | -0.0321 | 1.4180 | 1.4890 | 0.3922 | -0.0699 | -0.6915 | 0.1236 | -0.2761 | 0.9500 | 0.0752 | 0.9721 | 0.2908 | 0.9084 | 0.1283 | 0.4193 | 0.7920 | 0.3770 | 0.2308 | -0.1581 | 0.4733 | 0.7859 | 0.4756 | 0.7863 | 0.4461 | 0.1632 | -0.5356 | -0.1564 | 0.4156 | 0.4025 | 0.6494 | 0.9144 | -0.0715 | 0.4126 | -0.0029 | -0.3833 | 0.6629 | 0.1870 | -0.4134 |
| 14645 | id_9d767545e | trt_cp | 48 | D1 | 1.7890 | 0.2165 | 0.6359 | -0.2041 | -0.5427 | 0.0809 | 0.0006 | -0.0420 | -0.4569 | 0.5599 | 0.6458 | 0.5275 | -0.1988 | -0.1355 | -3.1860 | 0.2670 | -0.3187 | -0.4951 | -1.0970 | 0.2334 | -0.5592 | 0.2090 | 0.3808 | -0.2411 | -0.1441 | 0.3218 | 0.1350 | -0.1949 | 0.6110 | 0.0717 | 0.1074 | 0.2804 | -0.3608 | 0.5544 | 0.2753 | -0.4324 | 0.8099 | 0.3330 | 0.4164 | 0.3231 | -0.6607 | 0.5591 | 0.0478 | 0.0563 | -0.0238 | -0.7498 | -0.5706 | -0.3483 | -0.8071 | -0.1897 | -0.6050 | -0.2811 | 0.6734 | 0.3166 | -0.9929 | -1.4390 | -0.5606 | 1.2580 | 0.5203 | 0.4324 | 0.0911 | 0.3199 | -0.0169 | 0.4489 | -0.3158 | -0.2357 | 0.1991 | -0.5683 | 1.2440 | -0.7125 | -0.1405 | 0.7075 | 0.2659 | 0.8212 | -0.4190 | -0.4708 | 0.0988 | -0.5448 | -0.4816 | 1.4920 | -0.4958 | 0.0416 | 1.0060 | 0.2684 | 0.0051 | -0.0480 | -1.6360 | -0.3721 | -0.1521 | 0.7496 | 1.3780 | -0.3885 | 0.2742 | -0.2335 | -0.1486 | -0.8116 | -0.0209 | -0.5256 | 0.5393 | -1.1060 | 1.0790 | -0.4989 | -0.6810 | 0.4651 | -1.3320 | 0.1515 | -0.1865 | -0.5332 | 0.8453 | -0.1903 | -1.1150 | -0.8981 | -0.3360 | -0.3322 | -0.5480 | 0.6686 | -0.1702 | 0.3762 | -0.6585 | -0.7204 | -0.2201 | -0.1193 | 0.7699 | -0.0918 | 0.1806 | 0.7662 | -0.4652 | -0.2527 | -0.1653 | 0.8970 | 0.4342 | 0.3922 | 1.0860 | 1.4630 | 0.7285 | -0.0823 | -0.4588 | -0.0588 | 0.1154 | -0.7858 | -0.7731 | -4.2220 | -0.5808 | -0.1338 | 0.1628 | 0.0115 | -0.2212 | -0.1360 | -0.3776 | -0.4710 | -0.6870 | 0.3387 | 0.5612 | 0.0314 | -0.6270 | 0.2586 | -1.1600 | -0.0570 | 0.0553 | -0.3747 | -0.4823 | -0.5749 | 4.4920 | -1.5310 | 0.3870 | -0.1356 | 0.1362 | -0.6782 | -0.8696 | -0.2697 | -1.2990 | 0.3920 | 0.9951 | -0.5809 | 0.5530 | -0.3535 | -2.5570 | -0.6143 | -0.5421 | 0.4205 | 0.3802 | -0.2807 | -0.9744 | 0.3140 | 1.1860 | -2.4560 | -0.3426 | 0.2244 | 1.7420 | -0.4229 | -0.2082 | -4.0960 | -0.7019 | 0.0838 | -1.1010 | -0.1324 | -0.2921 | -1.7760 | 0.6861 | -0.5041 | 0.1951 | 0.2992 | -0.6801 | 0.1752 | -0.5264 | 1.1400 | 0.5553 | 1.1710 | -0.1134 | -0.2100 | 0.4801 | -0.6014 | -0.4949 | 0.5342 | -0.4824 | -0.6589 | 0.4159 | -1.1110 | -0.3521 | -0.2506 | 0.0090 | 0.0355 | -0.1479 | -0.4172 | 0.0112 | 1.1620 | 0.0593 | -0.2682 | 0.0027 | -0.0902 | -0.0880 | -0.4814 | -0.0434 | 0.0034 | 0.9620 | 1.2680 | -0.4328 | 1.1260 | 0.0000 | 0.9484 | 0.5661 | 1.3780 | -0.0115 | 0.6869 | 0.3206 | -0.2944 | -0.3990 | -0.0291 | -0.5297 | 0.1559 | 0.4967 | 0.3166 | 0.2276 | -0.3787 | -0.1805 | 0.0858 | -0.0077 | 0.5271 | 0.3846 | -0.1954 | -0.1505 | 0.2717 | -0.5684 | 0.3196 | 0.1763 | 0.0105 | -0.2166 | -0.8884 | 0.8141 | 0.0322 | -0.3606 | 0.2006 | 0.4885 | 0.2299 | -0.3909 | 0.2319 | 0.2612 | -0.3999 | 0.0296 | 0.3052 | 0.6128 | 0.4871 | 0.5157 | -0.1777 | -0.3812 | -0.4390 | -1.9330 | 0.1115 | -0.0143 | 0.3392 | -0.3989 | 0.2196 | -0.5305 | -0.2121 | -0.4040 | -0.2954 | -0.5193 | 0.2986 | 0.1143 | -0.4040 | -0.0272 | -0.3435 | -0.0839 | -0.3092 | -0.4391 | -0.1758 | -0.0165 | -0.7096 | -1.0000 | -0.6797 | -0.5203 | 0.1138 | 0.4139 | 2.0020 | 0.3300 | 0.1892 | 0.3906 | -0.0895 | -0.3262 | 0.6717 | -0.2674 | -0.4056 | 0.7271 | 0.6851 | -1.8170 | -0.7185 | -1.1330 | -0.5341 | 0.2433 | -0.7345 | -0.5811 | 0.7001 | -0.1026 | 0.3786 | -0.3353 | -0.0759 | 0.2846 | -0.4750 | 0.0693 | 0.4988 | 0.4194 | 0.3454 | -0.0398 | -0.6141 | 0.7234 | -0.4003 | -0.4518 | -0.3134 | 0.6999 | 0.1766 | -0.5710 | -0.2703 | -0.8536 | -0.5333 | -0.0583 | -0.0348 | -1.1730 | -0.7185 | -0.4513 | 0.2739 | 0.0772 | -0.0767 | 0.0223 | 0.6452 | 0.6320 | -0.1149 | -0.0828 | -0.0043 | -0.3559 | 0.3570 | -0.7049 | 0.5490 | 0.7564 | 0.6179 | 0.4860 | 0.3701 | -0.0570 | -0.8562 | 0.8051 | 0.2183 | 1.3600 | -0.2140 | 0.9065 | 0.5154 | -0.2637 | -0.4407 | -1.2950 | 0.2258 | 0.1443 | 0.1454 | 0.2799 | 2.1180 | -0.2585 | -0.0533 | -0.4456 | -0.0702 | -0.0347 | 0.2022 | 0.1571 | -4.2170 | -0.6184 | -0.5891 | 0.2282 | -1.1140 | -0.1304 | -0.0273 | 0.6321 | 1.0170 | 0.8465 | -0.1556 | 0.2553 | -0.2108 | 0.6473 | 0.5730 | 0.9102 | 0.2861 | 2.0170 | -0.2102 | 0.2489 | -0.2475 | 0.2235 | -2.4050 | -0.3839 | -0.3335 | -0.2148 | 0.1931 | -0.2432 | -0.2735 | 0.8758 | -0.3932 | 0.1168 | 0.0040 | -0.0995 | -0.4136 | -1.3480 | -0.4552 | -1.1070 | -0.4058 | -0.1951 | -0.0905 | 0.1698 | -0.4125 | 0.2559 | 0.8286 | 0.5569 | -0.0320 | 0.1799 | 3.5980 | -0.9977 | 0.6206 | -0.2779 | 4.0470 | -0.6706 | 0.2734 | 0.5711 | -0.3836 | -0.0247 | 0.4135 | -0.3744 | -0.1393 | 0.0213 | 0.1849 | -0.4934 | -0.3561 | 0.1180 | 0.1520 | 0.4456 | 0.5398 | -0.4751 | 1.0720 | -0.7807 | 0.5137 | 0.7735 | -0.0938 | -0.4767 | -0.5604 | -0.1382 | 0.5440 | 0.4094 | -0.4782 | -0.1460 | 0.4843 | 0.1450 | 0.3697 | 0.0668 | 0.3018 | 0.6209 | 0.5227 | -0.4756 | 0.3104 | 0.0791 | -0.8169 | -0.3000 | 0.1398 | -0.0683 | 0.5153 | -0.4342 | 0.9163 | -0.3285 | 0.9948 | 0.1056 | -0.3399 | 0.1705 | 0.3973 | -0.5192 | 0.1522 | -0.8095 | 0.4132 | 0.1223 | 0.6237 | 0.0495 | 0.6035 | -0.2046 | 0.0560 | 0.7915 | 0.5020 | 0.0943 | -0.9783 | -0.4119 | -0.2180 | 0.0307 | 0.3670 | 0.3187 | -0.4752 | 0.1642 | -0.0009 | 1.1970 | -0.3907 | 0.3097 | -0.7570 | 3.5590 | 1.3420 | -0.5178 | 0.6899 | -0.2188 | -0.3429 | -0.6385 | -0.7423 | -0.3310 | 0.6000 | 0.4842 | 0.3170 | -0.7907 | 0.2913 | 0.1751 | -1.2340 | 0.6745 | 0.5372 | 0.8366 | 0.6926 | -0.1322 | -0.0978 | 1.3500 | 0.5260 | 0.7120 | 0.6314 | 0.9880 | -0.5294 | -0.6896 | 0.5088 | -0.2125 | -1.0020 | 0.6883 | 0.4543 | 0.4080 | 0.1278 | 0.2213 | 0.5889 | 0.9057 | 0.9683 | -0.4373 | -1.8490 | 0.0242 | -0.7383 | 0.6507 | -0.6498 | 0.2012 | 0.0308 | -0.4984 | -0.4038 | 0.6365 | -1.7930 | 0.4608 | 1.2330 | 1.2500 | -0.7252 | 2.1160 | 0.1172 | 0.7700 | -0.1711 | 0.5495 | -1.6080 | 0.1334 | 0.0906 | 0.1509 | 0.6487 | -1.0540 | 0.3618 | 0.5454 | -0.3287 | -0.1765 | -0.5603 | 1.2000 | 0.6700 | -0.0452 | -0.5347 | -0.2986 | 0.3449 | -0.5296 | -0.2072 | 1.3930 | 0.6411 | 0.4481 | 0.1331 | 0.0106 | 0.0403 | 0.6187 | 0.5221 | 1.4140 | 0.3350 | 0.3372 | 0.2941 | 0.1094 | -0.4343 | 1.4180 | -2.1110 | 0.1752 | 0.2030 | -0.4624 | -0.5389 | 0.4877 | -0.9408 | -0.0091 | -0.1797 | -0.1329 | 1.6170 | -1.1490 | -0.1630 | 0.1265 | 0.4295 | 0.7452 | 0.2917 | 0.0307 | -0.0036 | -0.4080 | -0.2086 | -0.4612 | 0.3625 | 0.4135 | -0.5745 | -0.3572 | -0.5051 | 0.8950 | -2.1920 | -0.0404 | 0.5163 | 0.3140 | -0.1199 | -0.6094 | 0.0985 | -0.5098 | 0.1108 | -0.0766 | -0.5437 | 1.3650 | -0.4823 | 0.1797 | -0.7897 | -0.1289 | -0.4940 | -0.0422 | -0.0718 | -0.0580 | 1.5290 | -0.8913 | -0.9604 | 0.6075 | -0.2231 | -0.7690 | -0.7824 | -0.3052 | 0.0578 | -0.4297 | -0.6960 | -0.3824 | 0.8863 | 0.0993 | 0.6162 | -0.1791 | 0.3932 | 0.0939 | -0.0196 | -0.0378 | -0.5908 | -0.0624 | -0.8728 | 0.1454 | -0.0431 | -0.1174 | -0.5342 | -0.5619 | 0.5385 | 0.3909 | 0.4030 | 0.7749 | -0.1049 | 0.4474 | 5.000 | -0.7292 | 1.4160 | 0.1123 | -2.5400 | -0.4387 | -0.1831 | 0.5379 | -2.0100 | -0.1955 | -0.6053 | -0.6923 | -1.0350 | 1.0290 | -0.1728 | -0.6188 | 1.1720 | -0.5034 | 2.2560 | -0.2165 | 0.5454 | -0.2918 | -0.4704 | 1.6530 | -0.4453 | -0.1920 | -0.1629 | -0.6408 | 0.5717 | -0.3718 | -0.1393 | 0.0129 | -0.1455 | 0.3454 | 1.3520 | -0.9705 | 0.4186 | -0.6985 | 2.1130 | 0.1942 | -0.6855 | -0.7646 | -0.2451 | 0.2711 | 1.3930 | 0.0371 | -0.3334 | 1.2890 | -0.0638 | -1.0040 | -0.7808 | 0.5794 | -0.7803 | 0.0934 | 1.9020 | -0.1408 | -0.7201 | 0.8816 | -0.5995 | 0.1431 | 1.5020 | 0.1455 | -0.4394 | 0.6841 | 0.3583 | 0.5253 | -0.2517 | 0.3074 | 0.7200 | 0.0507 | -0.6906 | 0.4883 | 0.1022 | 0.5163 | -0.2447 | 0.5309 | 0.5335 | 1.5680 | -0.7272 | -1.2510 | -0.8449 | 0.3229 | 0.6067 | 0.5634 | 0.0698 | 0.5268 | 0.1799 | 0.4755 | 0.2745 | -0.1021 | 0.3077 | 0.8456 | 0.8074 | -0.2213 | -0.2024 | -0.6930 | 0.1594 | 0.7641 | 0.2393 | 0.5586 | -0.3628 | -0.1960 | -0.2926 | 0.1435 | -0.4200 | -0.1290 | 0.6221 | -0.2603 | 0.4129 | 0.6590 | 0.9917 | -0.7476 | -0.7433 | 0.6400 | 0.7135 | -0.3173 | 0.5072 | 0.3200 | 0.0488 | -0.6087 | -0.4608 | -0.1147 | 1.2200 | 0.1525 | 0.3523 | 0.0051 | 0.6057 | 0.4066 | 0.4300 | -0.5785 | -0.2130 | -0.2578 | 1.0280 | -0.3641 | -0.5491 | -0.9776 | 1.1120 | 0.0888 | -0.8888 | 0.2792 | 0.8334 | 0.4890 | -0.3414 | 0.2635 | 0.2412 | -0.1307 | 0.3653 | -0.0206 | 0.8775 | -1.0370 | 0.2327 | -1.5240 | 0.6340 | 0.5766 | 0.0103 | 0.0074 | 0.3436 | 0.1828 | 0.4016 | 0.3834 | -0.7443 | 0.9127 | 0.1623 | -0.0698 | -0.5141 |
| 3475 | id_2565e33f4 | ctl_vehicle | 48 | D1 | 1.4190 | 0.3102 | -0.5491 | 0.5864 | -1.4890 | 0.0059 | -1.6870 | 0.0753 | 1.1930 | -0.4097 | 1.4900 | -0.4821 | 1.2070 | 0.2939 | 1.5630 | 0.0094 | 0.4970 | 0.1880 | -0.1639 | 0.5439 | 0.2903 | -0.7547 | -0.2538 | 0.4920 | -0.9534 | 0.9465 | 1.3670 | -0.2358 | 0.4050 | 0.3146 | 0.9248 | 0.1515 | -0.4803 | 0.6839 | -0.5588 | -0.5268 | 0.9402 | -0.0785 | 1.1730 | 0.1363 | 0.3503 | 0.1861 | 0.1522 | -1.5470 | 0.5886 | -0.9248 | -0.1501 | 1.0250 | -0.7003 | 0.9493 | 0.1504 | 1.9780 | -0.7273 | 0.2016 | 0.0573 | 0.0055 | -0.3633 | 1.6980 | 0.9936 | 0.0614 | 0.0792 | -0.6289 | 0.2137 | -0.6195 | -0.7832 | -1.1900 | -1.1920 | -0.7176 | -0.8849 | 0.0560 | 0.0267 | -0.0319 | -0.2997 | -0.1078 | 0.8573 | 0.9743 | 0.2194 | -0.5412 | 0.2411 | 1.6550 | -0.3752 | 1.2940 | 1.3260 | 0.1314 | 1.3030 | -0.4747 | -0.5928 | 0.1712 | 1.2490 | -0.7007 | 1.0600 | -0.1536 | -0.5624 | -0.5782 | -0.4640 | 0.3248 | -0.6554 | -0.1946 | 0.8353 | 0.7660 | -1.2760 | 0.3528 | 0.1147 | -0.7155 | -0.0583 | 1.4420 | -0.5098 | 2.0590 | 2.2870 | -0.5671 | -1.7170 | -0.1950 | -0.2510 | -0.1141 | 2.1230 | 1.6750 | 0.2198 | 0.4430 | 0.0044 | -0.4294 | -0.4910 | 0.8571 | 0.8287 | 0.1767 | 0.1672 | -0.2207 | 0.4890 | -0.0307 | -0.1351 | 0.5980 | -0.8741 | -2.2280 | 0.0654 | 2.3270 | -0.1360 | 0.3069 | 0.1193 | 0.1971 | 0.4227 | 0.2018 | 0.3316 | 1.4640 | -0.1561 | 1.0900 | 1.2010 | 0.8052 | 0.4246 | 0.1538 | -0.2365 | 0.5016 | -0.2119 | 0.4851 | -0.0093 | -1.5160 | 0.3085 | 0.0732 | -0.4254 | -4.6180 | -1.2620 | -0.2211 | -0.2990 | -0.5846 | -0.2301 | 1.0660 | 1.2540 | -0.3183 | 0.3637 | 1.4780 | -0.2705 | -0.3149 | -0.1369 | -0.9511 | 1.4680 | -0.0273 | 0.6791 | -1.3560 | 0.1212 | 0.9818 | 0.5095 | 0.3923 | -0.6970 | -1.4510 | 0.2783 | 0.3401 | 0.7023 | 1.1850 | 0.6353 | 0.3020 | 0.0027 | 0.4696 | 1.0660 | 0.1390 | 0.6678 | -0.5294 | -0.1143 | -1.4860 | -0.8088 | -0.3955 | 0.0955 | 0.3405 | 0.2151 | 0.3160 | -0.3730 | 0.9288 | -7.9880 | -0.2660 | 0.4762 | -0.7846 | -0.0604 | 1.0490 | -0.7718 | -0.1955 | -0.8794 | -0.0715 | 0.6766 | 0.8013 | -0.3987 | -0.4581 | -0.3299 | 0.0000 | 1.1380 | -0.1711 | 0.1286 | 0.1982 | 0.3824 | -0.4819 | -0.3383 | -1.0540 | 1.1530 | -1.5920 | 0.0231 | -0.7482 | -0.3729 | 2.0040 | -0.3221 | 0.6593 | 1.3260 | -0.3392 | -0.4728 | 0.7416 | 0.5393 | 0.2253 | 0.1743 | 0.5916 | 0.0192 | -1.0380 | -0.3188 | 0.8375 | 1.4750 | 1.3950 | 0.6595 | -0.8515 | 0.6319 | 0.0029 | -0.0874 | 0.2285 | -0.2633 | -0.6770 | 0.9284 | 0.0024 | -0.7107 | -1.4570 | -1.1720 | 0.3487 | 0.1327 | 0.1997 | 0.6332 | -0.2999 | 0.1236 | 0.2203 | 0.0207 | 1.8820 | 0.9357 | 0.6274 | -0.1988 | 0.0862 | 0.9439 | -0.8079 | 0.9776 | 0.8332 | 1.0280 | -5.2730 | 1.2640 | 0.6511 | 0.9696 | 0.7140 | 0.1803 | 0.3885 | 0.2946 | 0.2293 | 0.1854 | 1.0610 | 0.9607 | 1.0730 | -0.2758 | -0.2119 | 0.5888 | -0.0619 | -0.7357 | -1.9520 | -0.0248 | 0.3128 | -0.3913 | -1.0040 | -0.6129 | 0.8705 | 0.0819 | 0.0000 | -0.1099 | -1.3520 | 0.4185 | -0.5023 | 0.1707 | -0.0186 | -0.7551 | -1.1780 | -1.0620 | -0.1099 | -0.4901 | 1.9360 | 0.2979 | 0.1650 | 0.0326 | 0.2526 | 0.9039 | -1.6790 | 2.0330 | 0.6543 | -0.1362 | 0.6236 | 0.3133 | -0.4914 | -0.8001 | -0.0459 | 0.2236 | 1.2650 | -0.3656 | -1.7190 | 0.8428 | 0.4952 | -0.0133 | -0.2584 | 0.1025 | 0.6157 | 0.3564 | 0.2769 | -0.0447 | 0.1786 | 0.0331 | 1.5920 | 0.3717 | -0.0068 | -0.5062 | 0.7405 | 0.1974 | -0.2782 | -0.0911 | 0.7396 | -0.5194 | 0.6870 | 0.0331 | -0.7358 | 0.5063 | 0.7487 | 2.0950 | -0.7695 | -0.1799 | -0.1007 | 0.3909 | 0.0488 | -5.0000 | -1.0230 | 0.1806 | 0.5296 | -0.3127 | 0.4816 | -0.1427 | -2.4220 | 0.2205 | -0.9501 | -0.7075 | -0.2956 | -0.7292 | 0.0210 | 0.9341 | 1.4090 | -0.3425 | 0.6300 | -0.2299 | 0.5950 | 0.4077 | -0.1792 | 0.5094 | -0.1945 | -0.2548 | 0.1492 | -0.7021 | -0.6571 | -0.3434 | -3.5400 | 1.5520 | 0.1024 | -0.8973 | -0.0023 | -0.6618 | 0.4363 | 0.6374 | 1.0730 | -1.7610 | -0.6030 | 0.2404 | 0.7922 | -1.1220 | 0.7654 | -0.0123 | -0.1353 | -0.1666 | -0.5525 | 0.0946 | -2.6760 | -0.7923 | -0.3255 | -0.1976 | 0.3801 | 0.4551 | 1.6980 | 0.0517 | -0.8599 | -0.3777 | -0.3893 | 0.7207 | -1.0300 | 1.1860 | -1.0830 | 1.6970 | 0.3318 | 0.0968 | 0.1519 | -0.1421 | 0.7539 | -0.4220 | 0.4395 | 1.2870 | 1.0410 | -0.2294 | 0.3951 | -0.0577 | -0.0363 | -0.0251 | 0.1800 | -0.3243 | 2.0760 | -0.2554 | 1.8090 | -2.1080 | 0.2688 | 0.1847 | -0.8881 | 0.5562 | 0.9518 | 0.8065 | 1.2030 | -0.3868 | 0.0522 | -0.3550 | 1.0900 | 0.7352 | -1.0240 | 0.6040 | -0.9685 | 0.7201 | -0.5267 | -0.0222 | -0.7023 | -0.5964 | -0.3311 | 1.0530 | -0.3752 | 1.1160 | -1.1890 | -0.2618 | 0.0321 | 1.1990 | -1.4140 | 0.2799 | -0.6303 | 0.0056 | -0.7355 | 0.9566 | -0.1777 | 0.5824 | 0.3231 | -0.6978 | -0.3866 | -1.0910 | -0.3222 | -1.0980 | -4.9030 | 0.7637 | -0.1537 | 0.1009 | 0.4462 | 0.3162 | -0.4743 | -0.8064 | 0.0186 | -0.3602 | -0.9492 | 1.0890 | 0.8013 | 1.0290 | 0.1654 | 0.9083 | -3.9290 | -0.6119 | -0.1621 | 0.9628 | 0.2852 | 0.5052 | -0.1069 | 0.2333 | -0.5615 | 0.6166 | -0.2369 | -0.6872 | -0.7242 | 0.9022 | 0.2754 | 1.2250 | 0.4889 | -0.4424 | 0.7021 | -1.6000 | 1.0840 | 0.3793 | 2.9000 | 0.0863 | -0.0160 | 0.0595 | 1.5480 | -0.1033 | 0.8340 | 0.1531 | -0.2197 | -0.7777 | 0.7161 | -1.5360 | 1.2580 | -0.3492 | 1.0220 | 0.6506 | 0.4405 | -0.1622 | -1.3040 | -0.4929 | 0.1715 | 0.9312 | -0.9595 | 0.6603 | -0.9292 | -2.4210 | 0.0225 | 1.7630 | 1.0650 | 0.4177 | 1.4830 | -0.4829 | 0.9308 | -0.8275 | -0.9209 | -1.9070 | 0.3474 | -0.3393 | 0.8391 | -0.4168 | 0.3599 | -1.0490 | -0.5732 | 0.7297 | 0.0990 | 0.3045 | -1.2900 | 0.0583 | 0.1477 | 1.8010 | 1.5540 | -0.9210 | -0.2086 | 0.1449 | 0.0143 | -0.7090 | 0.3472 | 0.5156 | 0.6941 | 0.2232 | -1.2690 | 0.0536 | -0.2849 | -0.7383 | 0.1780 | 1.5140 | 0.6041 | -0.5975 | 0.1940 | 0.1047 | 1.0560 | 1.0430 | 1.3640 | 0.0713 | 0.6569 | 1.0340 | -0.4465 | 0.8020 | -0.7727 | -1.1180 | 0.5029 | 0.4396 | 0.3924 | -0.3361 | 0.7871 | -0.1666 | 0.7875 | 0.8267 | -0.7743 | -0.8684 | 0.1423 | -1.3180 | 0.0554 | 0.0712 | 1.1840 | 0.2237 | -0.0011 | -0.0144 | 0.5562 | -0.5890 | 0.0829 | 0.7045 | 0.0043 | 0.3383 | -0.2735 | -0.0838 | 0.5450 | 0.8726 | -1.7450 | -0.1304 | 1.1680 | -0.0583 | -0.4051 | 0.8805 | -0.3306 | 0.0561 | -0.1555 | 0.5439 | -0.1606 | 0.3497 | 0.8395 | -1.7840 | 0.2436 | 0.2189 | 0.8333 | 0.2276 | 0.7463 | -0.4255 | 0.9218 | -0.2368 | -0.5391 | 1.6280 | 0.4330 | 0.1326 | 0.5123 | 1.3230 | -0.9445 | 0.3476 | 2.2230 | 0.5664 | -0.1375 | -1.4400 | -0.0347 | -0.3205 | 0.9942 | 0.4377 | -0.3392 | 0.7244 | -0.2950 | 0.1816 | -0.1437 | -0.3898 | -0.6777 | 0.0849 | 0.0259 | 0.9099 | -0.2744 | 0.0129 | -1.0550 | 0.7420 | -0.0164 | -0.0086 | 1.0930 | 0.5742 | 0.5467 | -0.0198 | -0.9301 | 0.6837 | -0.3722 | 0.3848 | 0.3759 | 1.2000 | 0.000 | 0.8443 | -0.4977 | -0.8168 | 0.5512 | -0.5057 | -2.6110 | 2.1290 | 0.6264 | 1.6660 | -0.5128 | -0.2088 | 0.6722 | 0.4342 | -0.0162 | -0.5067 | 0.3776 | 0.8135 | -0.5378 | -0.8512 | 0.1835 | -0.8779 | 0.3086 | 0.4144 | 0.3150 | -0.5268 | -0.7053 | 0.7900 | -0.1535 | 0.8046 | 0.0488 | 1.5460 | 0.1767 | 0.2293 | 0.4009 | 0.2754 | -0.6998 | 0.6981 | -0.4151 | 0.3094 | 0.5730 | -1.6660 | 0.9089 | 1.0980 | 0.0640 | -0.4747 | 0.6919 | 0.8340 | 0.3388 | 0.0000 | 0.1610 | 0.6917 | 0.6262 | -0.2543 | -0.9505 | 0.1516 | 0.7536 | -0.3131 | 0.6333 | 0.4416 | 0.9460 | -0.0978 | 1.1930 | 0.5922 | -0.3057 | -0.2342 | -0.5641 | -0.4200 | 0.5991 | -0.9713 | 0.3392 | -0.5472 | 0.2369 | -0.3868 | -0.5288 | -0.0407 | 0.5024 | -0.6348 | -0.2681 | -0.5366 | -0.8730 | 0.0768 | 0.7012 | 0.3734 | -0.4739 | -0.1267 | -0.7178 | 0.3829 | 0.8486 | -0.5696 | -0.4193 | 0.7783 | -0.1937 | -0.4775 | -0.1747 | -0.1399 | -0.0860 | 0.5287 | 0.1984 | -0.3695 | -0.2476 | 1.0630 | -0.5264 | -0.9157 | 0.1902 | 0.9480 | -0.5161 | -0.8429 | -0.0612 | -0.6504 | -0.2044 | 0.7801 | -0.6452 | 0.2352 | 0.1893 | -1.1600 | 0.4932 | -0.2906 | -0.2876 | -0.4053 | 0.5706 | -0.3856 | -0.1993 | 0.2643 | -1.0350 | 0.0806 | -0.5645 | 0.0080 | -0.1572 | 0.0209 | -0.2335 | -0.2543 | -0.6473 | -0.6937 | 0.7940 | -0.1763 | 1.0860 | 0.3169 | 0.2148 | -0.4555 | -0.1053 | -0.4781 | 0.2418 | 0.8648 | 0.2660 | -0.1981 | 0.1933 | -0.1085 | 0.1079 | -0.0046 | -0.3951 | 0.1365 | -1.0410 | -1.3470 | 0.0281 | 0.0332 | -0.2430 | -0.8322 | 0.5050 | -0.4824 | 0.1734 | 0.4303 | -0.3589 | -0.9788 | 0.7810 |
| 13381 | id_90475affe | trt_cp | 24 | D2 | -1.2370 | 0.0985 | 1.2910 | 0.9344 | 0.3793 | 1.1240 | 0.4287 | -0.1958 | -0.6204 | 0.0469 | -0.3677 | 0.5372 | -0.3649 | 0.7088 | 0.9334 | 0.4071 | 1.7420 | -0.6251 | -0.3855 | 0.1327 | 1.5210 | 0.1709 | -0.6212 | -0.3949 | 0.1678 | -0.3155 | 0.2786 | 0.4551 | -0.3854 | 1.4030 | -0.8333 | -0.2173 | 0.2631 | -0.8334 | 1.2370 | -0.6256 | -0.4171 | 0.3531 | -0.7603 | -0.0524 | -1.9810 | -0.8732 | 0.6136 | 0.4591 | 0.9192 | -0.8795 | 0.6462 | -0.6384 | -1.1320 | 0.1755 | -0.4126 | -1.0800 | 0.7869 | 0.1593 | 1.4890 | -0.1529 | -2.5020 | -0.5207 | -0.0024 | 0.4095 | 0.8152 | 0.4764 | -0.4904 | 2.0820 | -0.0629 | -1.0330 | 1.4110 | 0.5149 | -0.4022 | 1.3480 | 0.3345 | 0.8541 | 0.5952 | -0.5156 | 0.8166 | -0.3710 | 0.8043 | -0.2118 | 0.9426 | 0.1049 | 0.0378 | -0.1088 | 0.5178 | -0.3105 | -0.1796 | -0.5558 | 0.4523 | -0.1079 | 0.4331 | -0.2933 | 0.0406 | -4.0740 | 0.3769 | 1.0530 | -0.1291 | 0.1259 | -0.3976 | -1.0550 | -0.3334 | -0.9687 | -0.2037 | -0.2900 | -0.3175 | 0.1535 | 0.6353 | 0.0379 | -0.9721 | 0.4973 | 0.5293 | -0.0297 | -0.4845 | -0.2399 | -0.1080 | -0.5540 | 0.3568 | -0.1248 | -0.4706 | -0.1231 | 0.2551 | -0.3134 | -0.4703 | -0.7670 | 0.2104 | -0.5991 | 0.7740 | 0.3945 | 0.2542 | 1.7970 | -0.4273 | -0.0060 | -0.6021 | -0.8379 | -0.4365 | 0.7228 | 0.5117 | -0.3057 | 0.2723 | -0.4361 | -0.6201 | 0.0857 | -0.0791 | -0.1220 | 0.4540 | 1.4180 | 0.4019 | 0.9384 | -0.7516 | -0.1507 | 0.5568 | -0.8201 | 0.2309 | -1.3220 | 0.3859 | 0.0941 | 0.5132 | -1.0340 | -0.9352 | 0.9912 | -0.1426 | 0.3153 | -0.6294 | -0.7255 | 0.3192 | -0.1413 | -0.2803 | -0.5136 | 0.7180 | -0.7229 | 0.0038 | -0.5058 | 5.0270 | -2.1430 | 0.5747 | -0.3752 | -0.0053 | -0.1655 | 0.1893 | 0.4338 | 0.0454 | -0.3848 | 0.1410 | -0.2316 | 0.1269 | 0.3415 | -0.6576 | -0.0236 | -0.6085 | -0.2389 | -0.5648 | -0.1149 | 0.3748 | -0.2516 | -0.0632 | -0.2112 | -0.0435 | -1.0670 | 0.4961 | -0.4794 | 0.7250 | -0.6223 | -0.3666 | 0.3655 | -0.8824 | -0.1039 | 0.5504 | -0.1813 | 0.9006 | 0.1538 | -0.8035 | 0.0000 | 0.9909 | 1.1350 | -0.3210 | 0.0391 | 0.0660 | -0.5608 | -0.1002 | -0.2498 | -0.3727 | -1.2820 | 0.8519 | 0.8708 | -0.1715 | 0.2682 | 0.4510 | 0.3693 | -0.5043 | 0.3266 | 0.1919 | -0.1350 | -0.6316 | 0.4498 | -0.9057 | -0.4370 | -0.0047 | -0.1807 | -0.2016 | 0.3711 | 0.4750 | 0.2128 | 0.6829 | -0.2154 | -0.8696 | 0.3659 | 0.2616 | -0.6386 | 0.6855 | 0.0120 | -0.1145 | -0.7080 | -0.5727 | -0.1571 | 0.2057 | 1.4520 | 0.2586 | -1.5170 | -4.8150 | 0.3926 | 0.2810 | 1.1440 | 0.1616 | -0.0785 | 0.0316 | 0.4345 | 0.4993 | -0.1229 | -0.0244 | 0.1579 | 0.6386 | -2.5370 | 1.2820 | 0.2664 | 0.0353 | 0.3094 | 0.3554 | -0.3158 | -0.0654 | 0.0428 | -0.2349 | 0.5250 | 0.6572 | 1.1410 | -0.8900 | 0.8136 | -0.8343 | 0.2753 | -0.3424 | 1.0980 | 0.6029 | -0.0261 | -0.4365 | -0.3354 | -0.1123 | -0.4028 | 0.0575 | 3.4790 | -0.6525 | -0.1235 | 0.3187 | 0.2276 | 0.0081 | -0.7646 | -1.7440 | 0.0246 | 0.3020 | 0.7298 | 0.3535 | 0.0209 | 0.2149 | -0.2460 | -0.2548 | -2.0120 | -1.7900 | 2.5200 | 0.2631 | 0.1289 | -0.8309 | 0.9634 | -0.3665 | -0.4451 | 0.9974 | 0.2661 | 0.3863 | -3.5140 | -0.5637 | -0.9683 | 0.5716 | 1.8580 | 0.1044 | 0.8094 | 2.5480 | -0.5460 | -0.3893 | -0.2003 | -0.1434 | -0.2056 | -0.3889 | -0.2659 | 1.1570 | -0.8175 | 0.7527 | 0.4627 | 0.3096 | 1.2560 | -0.7080 | 0.4780 | -0.8282 | -1.5240 | 0.2923 | 0.2564 | 0.3947 | 0.4740 | -0.7586 | 0.0786 | -0.3720 | -0.4620 | -1.2510 | 0.4495 | -0.8876 | 0.1477 | -0.9553 | 0.6763 | -0.6632 | -0.0692 | 0.2174 | -0.9724 | 0.8138 | 0.3372 | -0.4969 | 1.2540 | -0.3776 | -0.6688 | 0.7197 | 0.5695 | 0.6156 | -0.2768 | 1.5920 | 1.1920 | 0.5673 | -0.3210 | 0.7134 | 0.4907 | -0.4939 | 1.0340 | -0.4351 | -0.5070 | -0.5094 | -0.0261 | 0.4562 | -0.2958 | 0.8212 | -0.2716 | -0.1757 | 0.8716 | 0.0570 | -0.6814 | -0.5049 | -0.2803 | -0.6814 | 0.3295 | -0.5713 | -1.0490 | -0.3151 | 0.2288 | 0.3411 | -0.5263 | 0.7031 | 0.3457 | 0.5334 | -0.2397 | 0.7815 | -0.4062 | -1.7230 | -0.8996 | 0.4234 | 1.0950 | -0.3187 | 0.2014 | -1.0720 | -0.0652 | -0.4787 | 0.4907 | -0.0575 | 0.4096 | -0.7064 | 1.8370 | 0.1905 | -0.3700 | 0.7330 | 0.7817 | -0.9973 | -1.3540 | 1.0140 | -0.7541 | 0.1508 | -0.0631 | -0.0880 | -0.3338 | 0.8523 | 0.1258 | 0.9515 | 1.6320 | 0.6379 | -0.4287 | 0.8383 | -0.5065 | 0.1373 | -0.7968 | -0.0634 | 0.4539 | -0.1162 | 0.5006 | -0.3156 | -0.2814 | 0.8651 | -1.0090 | 0.5281 | -0.8571 | -0.9823 | 0.4677 | -0.5211 | 0.2212 | -0.7932 | -0.0267 | 0.0863 | 0.0797 | 0.0953 | 0.1006 | -0.4958 | 2.5560 | 0.0728 | 0.7303 | -1.1970 | -0.4199 | -0.7162 | -0.9094 | -0.2696 | -0.3201 | -0.8707 | -0.1160 | 0.4287 | -0.0803 | 0.0021 | 0.2740 | 0.0760 | 0.4761 | -0.0095 | -3.1960 | -1.0710 | 1.3130 | -0.1793 | -0.3022 | 0.9161 | -0.2410 | 1.4040 | 1.0640 | -0.1815 | -0.5810 | -0.2371 | -0.7263 | -0.3454 | -0.8607 | 0.1776 | -0.2500 | -0.3902 | -0.7812 | 0.4604 | 0.5210 | 1.5420 | -1.2530 | -0.7628 | 0.3835 | 0.1815 | -0.8844 | 0.4854 | 0.1048 | -1.3140 | -0.0712 | -1.0570 | 3.3060 | -0.5144 | 0.4715 | -0.2050 | -1.0560 | -0.0291 | -0.0038 | 0.0954 | 1.4560 | 0.1233 | -1.1790 | 0.4146 | 0.3643 | -0.7607 | -0.2657 | -0.2153 | -1.8620 | -0.8300 | 0.8985 | 0.7602 | -2.1400 | -2.0310 | 0.1982 | -0.3993 | 0.8293 | -0.1609 | -0.7071 | 1.1750 | -1.4720 | 0.8028 | -0.4199 | 0.8553 | -0.1009 | 0.2439 | 0.5782 | 0.9916 | -0.1366 | -2.2130 | -0.3113 | 0.4575 | 0.0048 | 0.3783 | -0.8338 | -0.2168 | -0.5238 | 1.8190 | -1.0050 | -0.6059 | 0.6703 | 0.2600 | 0.2729 | 0.0170 | 1.0380 | 0.0830 | -0.7739 | 0.1494 | -0.2969 | 0.1445 | 0.5669 | -0.2801 | -0.4725 | 0.8110 | -0.7385 | -0.5416 | 0.3613 | 0.6142 | 0.7469 | 0.8833 | -0.4581 | 1.0660 | -1.0970 | 0.3313 | -0.7755 | -0.0106 | -0.3562 | 0.0456 | 0.4352 | 0.0352 | 0.1656 | -1.2670 | -0.7523 | -0.5275 | -0.1617 | 1.3090 | 0.4635 | -1.4010 | 0.0801 | -0.6500 | 0.0415 | 0.1167 | -1.1100 | -0.8275 | -0.1147 | 0.3752 | 1.0970 | 0.2183 | 0.5332 | -0.8871 | 0.0032 | 0.1686 | -0.0367 | 0.6467 | 0.0482 | -0.7519 | -0.4629 | 1.6260 | -0.7515 | -0.7823 | -0.7310 | -0.0213 | -0.4276 | -1.1590 | -0.8841 | 0.7114 | 0.9482 | -0.1809 | 0.1159 | -0.2775 | 0.3375 | 0.8472 | -0.5470 | 0.4910 | -0.0035 | -1.3780 | 0.0347 | -0.3047 | -0.5107 | 0.9821 | 0.3011 | 0.6064 | -0.5092 | -1.2200 | 0.4904 | -0.4040 | 0.5489 | -0.1087 | 0.5961 | 0.3486 | 1.2090 | 0.0357 | 0.4484 | 0.2117 | -1.2150 | -0.8036 | -0.1036 | 0.6344 | 1.0830 | -0.1525 | -0.4289 | -0.3546 | 0.0539 | -0.0464 | -0.5510 | -0.4451 | -0.3127 | -0.5192 | -0.6769 | 1.4120 | 0.0000 | -0.0622 | -0.8420 | -0.0742 | 0.4490 | 0.2113 | 0.0982 | -1.0200 | 0.0012 | 0.3455 | -0.1126 | 0.2911 | 0.5331 | -0.1080 | 0.4958 | -0.3135 | 0.8036 | 0.3637 | -0.8458 | 2.1780 | -0.4487 | 0.6502 | 0.3400 | -0.7416 | 0.6121 | -1.1290 | 1.1730 | 1.1450 | -1.2620 | 0.4541 | 2.817 | 0.0559 | -0.0607 | 0.1648 | 0.3625 | 0.4066 | 0.0315 | 0.0728 | -0.7854 | 0.3016 | -0.4293 | -0.2731 | -0.6234 | -0.0261 | 0.7492 | 0.2910 | -0.2691 | -0.5178 | 0.1207 | 0.2384 | 0.3318 | -0.9387 | -0.5290 | 0.6435 | -0.0043 | 0.2014 | 0.5109 | -0.6923 | 0.7592 | -0.7806 | 0.0500 | -1.1610 | -0.2226 | -0.4372 | 0.0340 | -0.6044 | -0.4093 | -1.0100 | -0.4089 | -1.0450 | 0.7070 | 3.5060 | -0.3995 | 0.0222 | -0.1661 | -0.0143 | -1.3070 | 0.4030 | -5.2950 | 0.3946 | -0.7293 | 0.7737 | 0.4132 | 1.1890 | 0.5553 | 0.6283 | -0.7500 | -0.1583 | -0.0065 | 0.5619 | 0.3600 | 0.9998 | -0.7095 | -0.0834 | 0.3775 | -0.7546 | -0.0725 | -0.1127 | 0.3042 | 1.2440 | -0.9171 | 0.4061 | -0.0762 | -0.1202 | 0.7588 | 0.8713 | -0.5173 | -0.1132 | 0.6746 | 0.1210 | 0.3209 | -0.5375 | 0.5403 | -0.2410 | 0.4687 | 1.4460 | 0.0932 | 0.3055 | -0.0677 | 1.2320 | 0.6363 | -0.3219 | 0.9811 | -0.5315 | -0.6341 | 0.6599 | 0.8305 | 0.6980 | -0.5833 | 1.0440 | 1.2380 | 0.3779 | -1.2530 | 0.8815 | 0.4094 | 0.6375 | 0.5093 | 0.2352 | -0.4693 | 0.7223 | -0.1072 | 1.1800 | 0.7563 | 0.6219 | -1.1010 | 0.6622 | 1.1110 | 0.1456 | 0.0328 | -0.0536 | -0.0756 | 0.8765 | 0.5196 | -1.7190 | -0.1546 | 0.5878 | -0.5061 | 1.8340 | 0.8986 | 0.4448 | -0.0403 | 0.2947 | -0.2858 | 0.6945 | -1.1320 | -0.8691 | 0.3312 | 0.1855 | 0.5107 | 0.5913 | -1.1480 | 0.3754 | 0.2542 | 1.0600 | 0.3137 | -0.1828 | -0.6219 | 0.2940 | -0.4196 | 0.9729 | 0.8715 | 1.0660 | 0.4728 | -0.9362 | 0.5893 | -0.1984 | 1.3970 | 0.4147 | -0.0898 | -0.1053 | 0.3646 | 0.2448 | -0.2511 | 0.0470 | -1.7940 |
| 15281 | id_a446e2e51 | trt_cp | 72 | D2 | -0.3441 | -0.1275 | 0.3607 | 0.7475 | -0.1539 | 0.7183 | 0.0922 | -0.1953 | -0.4663 | -0.4277 | 0.0367 | 0.7712 | -0.2950 | 0.4957 | 0.2069 | -0.2880 | 0.0215 | -0.3371 | 0.5373 | -0.2186 | -0.3499 | -0.1038 | 1.2160 | 0.4047 | 0.6201 | -0.4712 | 0.7485 | 1.0790 | -0.4664 | -0.6000 | 1.0250 | -0.5841 | 0.7786 | -0.1075 | 0.1936 | -0.4611 | -0.2651 | -0.0023 | -0.0066 | -0.4367 | 0.2564 | -0.3426 | -0.2763 | -0.3065 | 0.0798 | -0.5579 | -0.5828 | 0.3855 | 1.2100 | -0.5971 | -0.0215 | -0.3791 | -0.1700 | 0.5337 | 0.8857 | 0.0815 | 0.5261 | 0.1761 | -1.0080 | 0.0743 | 0.5061 | 0.4665 | 0.9283 | -0.7755 | -0.2513 | 0.6000 | -0.3266 | 0.7312 | 0.6154 | 0.5835 | 0.3673 | 0.3123 | -0.1325 | -0.1052 | -0.5311 | 0.5750 | -0.0722 | 0.0926 | -0.0539 | -0.5746 | -0.1048 | -0.5343 | -0.6040 | -0.5491 | 0.2670 | -0.4199 | -0.3004 | -0.1154 | -0.2036 | 0.5483 | 0.7270 | -0.6188 | -0.0974 | -0.4349 | 0.4963 | -1.2310 | -1.5310 | 0.0537 | 0.7898 | -0.8707 | 0.1889 | -0.4788 | -0.3167 | 0.1752 | -0.3372 | -0.4689 | -0.1933 | 0.5139 | 0.1638 | 0.5863 | -0.4189 | -0.4083 | -0.2557 | 0.1828 | -0.3564 | -0.4401 | -0.2838 | 0.4609 | -0.0290 | -0.0932 | -0.4577 | 0.5689 | -0.2041 | -0.2560 | 0.3437 | 0.5580 | -2.2810 | 0.5197 | 0.2415 | 0.1488 | -1.0730 | -1.0830 | -0.5584 | 0.0294 | 0.4285 | -0.6331 | -0.3681 | 1.4900 | -0.2034 | -0.8404 | -0.1693 | 0.2244 | -0.1636 | -0.3915 | 0.0910 | 0.2837 | -0.0003 | -0.1872 | -0.1273 | 0.7282 | -0.3207 | 0.4787 | 0.6012 | -0.7041 | 0.6040 | -0.0732 | -0.1287 | 0.8327 | 0.0916 | 0.3929 | 1.4760 | -1.7120 | -0.4906 | -0.4461 | -0.0394 | -0.3409 | 0.1347 | 0.3247 | 0.1804 | 0.6538 | 0.7127 | -0.4697 | -0.7022 | 0.3029 | -0.2037 | 0.1441 | 0.1468 | -0.2957 | 0.1121 | 0.3504 | 0.0198 | -0.1182 | -0.7595 | 0.3911 | -0.0783 | 0.1587 | -0.5082 | -0.6782 | 0.9248 | -0.0088 | -0.4791 | 1.6830 | -0.2782 | 0.2580 | 0.4381 | 0.3798 | 0.0100 | -0.3929 | 0.1704 | -0.1641 | 0.1191 | -0.2449 | 0.0858 | -0.4215 | 0.0036 | -0.5355 | -0.3361 | -1.1570 | -1.0400 | -0.7025 | 0.1618 | 0.0030 | 0.1052 | 0.0000 | -0.3534 | 0.4078 | 0.0510 | 0.4585 | 0.1785 | 0.3018 | -0.6105 | -0.3824 | 0.8687 | -0.6511 | -1.0400 | 0.2409 | 0.6247 | -0.8795 | 0.3115 | -0.6582 | 0.2806 | -0.9139 | -0.5371 | -0.4363 | 0.0451 | 0.4709 | -0.1062 | -0.4057 | -0.5538 | 0.1228 | -0.2689 | 0.2379 | -0.0719 | -0.6194 | -0.9171 | 0.0213 | 0.0819 | -0.0418 | 0.1344 | -0.1581 | -0.8226 | 0.4633 | 0.0072 | -0.4891 | 0.1288 | -0.3693 | 0.6126 | -0.0510 | -1.1830 | 0.0481 | 0.0425 | 1.0140 | 0.7632 | -0.2674 | -0.0182 | 0.3778 | -0.4809 | -0.1133 | 0.2226 | 0.1397 | 0.4839 | 0.0775 | -0.4370 | -0.6109 | -0.3841 | 0.3914 | 0.8549 | 0.5610 | -0.2923 | -0.2337 | -0.3495 | -1.4770 | -0.2765 | 0.3602 | -0.2397 | -0.1824 | -0.2185 | -0.1397 | 0.4051 | 0.0004 | 0.2194 | 0.4705 | -0.3042 | 0.2022 | 0.1590 | 0.0796 | 0.7377 | 0.0080 | 0.2612 | -0.2600 | 0.3144 | -0.3547 | -1.0880 | 0.0644 | -0.0663 | -0.3257 | 0.0881 | 0.0000 | 1.3010 | 0.3162 | 0.3321 | -0.3322 | -1.2960 | 0.4622 | -0.0801 | 0.1613 | -0.4861 | 0.1639 | -0.5798 | -0.2358 | 0.3591 | 0.3029 | 0.5124 | -0.4961 | -1.0970 | -0.1746 | 0.0612 | 0.1461 | 0.4908 | -0.1002 | -0.3925 | -0.5250 | 0.0175 | 0.1083 | 0.4193 | -0.2684 | -0.0780 | -0.5891 | -0.3481 | -0.8032 | -0.2269 | -0.2828 | 0.7837 | -0.8298 | 0.7495 | 0.5016 | -0.5896 | 0.2149 | 0.2699 | -0.8932 | -0.5296 | 0.0620 | -0.4323 | 0.6994 | -0.7736 | 0.4679 | -0.3020 | 0.3306 | 2.0270 | -0.8152 | -0.0857 | -0.3202 | -0.3992 | -0.5275 | 0.4388 | 0.3449 | 0.6414 | -0.2199 | -0.7352 | 0.3632 | -4.4070 | 0.8165 | 0.4025 | -0.2016 | -0.0796 | 0.2599 | -0.5773 | -0.7343 | 0.4017 | 0.6021 | 0.2718 | -0.4487 | -0.5950 | -0.7303 | -0.0442 | -0.8929 | -0.4627 | 0.0522 | 1.0180 | 0.0662 | -0.1921 | -0.5812 | -0.2338 | 0.0505 | -0.4078 | 0.0811 | -0.2314 | 0.5116 | 0.3918 | -0.5379 | -0.0253 | -0.6862 | -0.2666 | 0.2256 | -0.0365 | 0.6137 | 0.3738 | 0.1181 | 0.1757 | -0.1401 | 0.5060 | 0.0128 | 0.4363 | 0.1014 | -0.2656 | 0.2392 | 0.1289 | 0.1187 | -0.3119 | 0.1824 | 0.2573 | 0.4615 | 0.0522 | 0.6327 | 0.0004 | -0.2123 | 0.4157 | -0.1673 | 0.2970 | 0.9515 | 1.1470 | 0.6662 | 0.4151 | 0.3721 | 0.4780 | 0.0000 | -0.5855 | -0.4969 | -0.1970 | 0.2303 | -2.0290 | -0.1228 | 0.1328 | -0.0525 | 0.0646 | -0.8292 | 0.0000 | -0.4001 | -0.0557 | -0.4096 | -1.3310 | 0.3000 | -0.4894 | 0.0614 | -0.5227 | 0.3905 | 0.5304 | 0.5267 | -0.6652 | 0.0781 | 0.1838 | -0.1018 | 0.1818 | 0.0215 | -0.5777 | -0.2928 | -0.1249 | 0.3515 | 0.2344 | 0.4882 | 0.5254 | 0.7372 | 0.0300 | 0.1639 | -0.8882 | -0.8953 | 0.6071 | 0.4321 | -0.4229 | 0.5318 | -0.3626 | 0.1949 | 0.8350 | -1.6070 | -0.0970 | 0.0454 | -0.3246 | 0.4726 | -0.8127 | 0.3144 | -0.2640 | -0.8012 | -0.5389 | 0.5990 | -0.3198 | -0.5360 | -0.3285 | -0.2028 | 0.0845 | -0.2224 | 0.3447 | 0.4577 | -0.5013 | 0.6057 | -0.2020 | 2.0170 | -0.6465 | -0.4212 | 0.6313 | 0.0625 | -0.2630 | -0.0291 | 0.7251 | -0.0549 | -0.0143 | 0.8264 | 0.1921 | 0.5864 | -0.3112 | 0.0016 | -0.5789 | 0.3359 | -0.4909 | -0.4422 | 0.4598 | 0.7996 | -0.0466 | 1.3000 | -1.5940 | -0.0487 | -0.5333 | -0.3357 | 0.5554 | 0.1533 | -0.1552 | -0.0887 | -1.2900 | -2.5390 | 0.2079 | -0.0670 | 0.3973 | -0.5367 | -0.4108 | -0.0018 | 0.4140 | -0.3841 | -0.3397 | -0.5740 | -0.0964 | 0.2524 | 0.1636 | 0.0003 | 0.4534 | 0.9675 | 0.1224 | 0.2421 | -0.5443 | 0.1807 | 0.7668 | -0.1293 | 0.3664 | 0.2114 | 1.3990 | 0.4633 | 0.3479 | 3.2050 | -0.3652 | -0.1145 | 0.5482 | -0.0057 | -0.9511 | -2.2850 | -0.4986 | -0.4997 | 0.1524 | -0.4331 | -0.5843 | 0.6079 | 0.8839 | 0.0752 | 0.7499 | 0.1276 | 1.1370 | -0.2062 | 0.4522 | 0.0459 | 1.0760 | 0.4302 | 0.8402 | 0.5914 | 0.1928 | -0.9388 | 0.3597 | -0.5891 | -0.6651 | 0.0194 | 0.9403 | -0.0559 | -1.5110 | 5.9330 | -0.4627 | -0.2244 | -0.1959 | -0.0804 | 0.0509 | 0.8957 | -0.1053 | -0.1241 | -0.3712 | -0.5602 | 0.4804 | -0.0226 | -0.0757 | 0.2645 | -0.3788 | 0.3663 | 0.5723 | 0.0733 | 0.3510 | -0.6411 | 0.6047 | -1.2500 | -0.0520 | -0.1140 | -0.0616 | 0.6740 | 0.0000 | -0.3907 | 0.1295 | -0.3940 | 0.2266 | 0.1279 | 0.6216 | -0.3011 | 0.1504 | -0.5275 | 0.2547 | 0.2782 | 0.3093 | 0.7888 | 0.0519 | -0.4104 | 0.2833 | 0.0641 | 0.3730 | -0.2907 | -0.9391 | -0.2901 | -0.9431 | 0.5551 | -1.4030 | -0.1292 | -0.4465 | 0.7018 | 0.1882 | 0.1821 | 0.7797 | -0.2213 | -0.4695 | -0.0284 | -1.3800 | -0.6401 | -0.5150 | 0.6342 | -0.5955 | -0.3462 | 1.1820 | 0.6644 | 0.6039 | 0.7312 | 0.0802 | -0.0450 | 0.7804 | -0.0905 | -0.4266 | -0.5962 | 0.1991 | -0.1649 | 0.7167 | -0.7276 | -0.1892 | -0.3201 | 0.3210 | 0.5382 | -0.9961 | 0.4867 | -0.1026 | 0.5605 | 0.1096 | 0.4338 | -0.8765 | -0.1592 | -0.0763 | 0.1179 | 0.4358 | 0.1924 | -0.4648 | 0.4702 | -0.1834 | 0.3224 | -0.6320 | 0.2130 | -1.2720 | 0.0465 | 0.3011 | 0.1289 | -0.2073 | 3.939 | -0.2270 | -0.3318 | -0.3191 | -0.2980 | -0.3027 | 1.8490 | 1.6820 | -0.8368 | 0.2993 | 0.9402 | 0.2435 | 1.2130 | 0.1877 | 4.9100 | -0.2001 | -0.0167 | 0.5358 | -0.5047 | 0.2922 | -0.4036 | -0.3927 | -0.0919 | -0.0398 | -0.2263 | 0.6078 | 0.3384 | -0.6191 | -0.0966 | -0.6271 | 2.5910 | 0.0328 | 0.3543 | 0.3688 | 0.5708 | 0.5568 | -0.2823 | -0.6632 | -1.0090 | 1.7320 | 0.7428 | 0.4870 | 0.5318 | -0.1211 | 0.3307 | -0.6278 | -0.1254 | -0.1376 | -0.5167 | 0.1447 | -0.7935 | -0.1798 | -0.4897 | -0.7289 | 0.3246 | 0.6815 | 0.5927 | 0.0089 | 0.8307 | 0.2607 | -0.3392 | -0.2492 | 0.3210 | 0.0300 | 0.2686 | -0.0608 | 0.4914 | -0.1098 | 0.1828 | -0.7101 | -0.2754 | -0.1185 | 0.0471 | -0.4872 | -0.1304 | 0.4320 | -1.8060 | 0.3774 | 0.1630 | 0.7390 | 0.3491 | -1.0450 | 0.5709 | -0.0198 | -0.6701 | 0.4652 | -0.5870 | 0.4687 | 0.1606 | -1.4170 | -1.2360 | -0.4067 | -0.1552 | 0.1202 | 0.3632 | -0.4292 | -0.3387 | 0.0832 | 0.5666 | -1.0240 | -0.5304 | 0.4099 | -0.5861 | -0.5648 | -0.2056 | 0.4037 | -0.0491 | 0.1681 | 0.0504 | -0.6480 | 1.0250 | 0.3339 | 0.1530 | -0.0869 | -0.2055 | 0.9261 | 0.1252 | 0.0232 | 0.0670 | 0.2354 | -0.5983 | -0.5939 | 0.0371 | -1.3130 | -0.2284 | -0.8324 | 0.1385 | -0.1683 | 0.0735 | 0.1188 | 0.5304 | 0.1905 | -0.1978 | -0.7382 | -0.7211 | 0.1704 | 0.0784 | -0.0742 | 0.2983 | 1.1890 | -1.4200 | -0.1427 | -0.2121 | -0.0990 | 0.3888 | -0.4457 | 0.2857 | 0.3261 | -0.4874 | -1.2320 | 0.0876 | -0.0888 | -0.3422 | -0.2700 | -0.2479 | -0.2720 | 0.7778 | -0.1273 | -0.4196 | -0.0674 | 0.3516 | 0.2311 | 0.3542 | -0.1559 | 0.6924 |
train_target.head()
| sig_id | 5-alpha_reductase_inhibitor | 11-beta-hsd1_inhibitor | acat_inhibitor | acetylcholine_receptor_agonist | acetylcholine_receptor_antagonist | acetylcholinesterase_inhibitor | adenosine_receptor_agonist | adenosine_receptor_antagonist | adenylyl_cyclase_activator | adrenergic_receptor_agonist | adrenergic_receptor_antagonist | akt_inhibitor | aldehyde_dehydrogenase_inhibitor | alk_inhibitor | ampk_activator | analgesic | androgen_receptor_agonist | androgen_receptor_antagonist | anesthetic_-_local | angiogenesis_inhibitor | angiotensin_receptor_antagonist | anti-inflammatory | antiarrhythmic | antibiotic | anticonvulsant | antifungal | antihistamine | antimalarial | antioxidant | antiprotozoal | antiviral | apoptosis_stimulant | aromatase_inhibitor | atm_kinase_inhibitor | atp-sensitive_potassium_channel_antagonist | atp_synthase_inhibitor | atpase_inhibitor | atr_kinase_inhibitor | aurora_kinase_inhibitor | autotaxin_inhibitor | bacterial_30s_ribosomal_subunit_inhibitor | bacterial_50s_ribosomal_subunit_inhibitor | bacterial_antifolate | bacterial_cell_wall_synthesis_inhibitor | bacterial_dna_gyrase_inhibitor | bacterial_dna_inhibitor | bacterial_membrane_integrity_inhibitor | bcl_inhibitor | bcr-abl_inhibitor | benzodiazepine_receptor_agonist | beta_amyloid_inhibitor | bromodomain_inhibitor | btk_inhibitor | calcineurin_inhibitor | calcium_channel_blocker | cannabinoid_receptor_agonist | cannabinoid_receptor_antagonist | carbonic_anhydrase_inhibitor | casein_kinase_inhibitor | caspase_activator | catechol_o_methyltransferase_inhibitor | cc_chemokine_receptor_antagonist | cck_receptor_antagonist | cdk_inhibitor | chelating_agent | chk_inhibitor | chloride_channel_blocker | cholesterol_inhibitor | cholinergic_receptor_antagonist | coagulation_factor_inhibitor | corticosteroid_agonist | cyclooxygenase_inhibitor | cytochrome_p450_inhibitor | dihydrofolate_reductase_inhibitor | dipeptidyl_peptidase_inhibitor | diuretic | dna_alkylating_agent | dna_inhibitor | dopamine_receptor_agonist | dopamine_receptor_antagonist | egfr_inhibitor | elastase_inhibitor | erbb2_inhibitor | estrogen_receptor_agonist | estrogen_receptor_antagonist | faah_inhibitor | farnesyltransferase_inhibitor | fatty_acid_receptor_agonist | fgfr_inhibitor | flt3_inhibitor | focal_adhesion_kinase_inhibitor | free_radical_scavenger | fungal_squalene_epoxidase_inhibitor | gaba_receptor_agonist | gaba_receptor_antagonist | gamma_secretase_inhibitor | glucocorticoid_receptor_agonist | glutamate_inhibitor | glutamate_receptor_agonist | glutamate_receptor_antagonist | gonadotropin_receptor_agonist | gsk_inhibitor | hcv_inhibitor | hdac_inhibitor | histamine_receptor_agonist | histamine_receptor_antagonist | histone_lysine_demethylase_inhibitor | histone_lysine_methyltransferase_inhibitor | hiv_inhibitor | hmgcr_inhibitor | hsp_inhibitor | igf-1_inhibitor | ikk_inhibitor | imidazoline_receptor_agonist | immunosuppressant | insulin_secretagogue | insulin_sensitizer | integrin_inhibitor | jak_inhibitor | kit_inhibitor | laxative | leukotriene_inhibitor | leukotriene_receptor_antagonist | lipase_inhibitor | lipoxygenase_inhibitor | lxr_agonist | mdm_inhibitor | mek_inhibitor | membrane_integrity_inhibitor | mineralocorticoid_receptor_antagonist | monoacylglycerol_lipase_inhibitor | monoamine_oxidase_inhibitor | monopolar_spindle_1_kinase_inhibitor | mtor_inhibitor | mucolytic_agent | neuropeptide_receptor_antagonist | nfkb_inhibitor | nicotinic_receptor_agonist | nitric_oxide_donor | nitric_oxide_production_inhibitor | nitric_oxide_synthase_inhibitor | norepinephrine_reuptake_inhibitor | nrf2_activator | opioid_receptor_agonist | opioid_receptor_antagonist | orexin_receptor_antagonist | p38_mapk_inhibitor | p-glycoprotein_inhibitor | parp_inhibitor | pdgfr_inhibitor | pdk_inhibitor | phosphodiesterase_inhibitor | phospholipase_inhibitor | pi3k_inhibitor | pkc_inhibitor | potassium_channel_activator | potassium_channel_antagonist | ppar_receptor_agonist | ppar_receptor_antagonist | progesterone_receptor_agonist | progesterone_receptor_antagonist | prostaglandin_inhibitor | prostanoid_receptor_antagonist | proteasome_inhibitor | protein_kinase_inhibitor | protein_phosphatase_inhibitor | protein_synthesis_inhibitor | protein_tyrosine_kinase_inhibitor | radiopaque_medium | raf_inhibitor | ras_gtpase_inhibitor | retinoid_receptor_agonist | retinoid_receptor_antagonist | rho_associated_kinase_inhibitor | ribonucleoside_reductase_inhibitor | rna_polymerase_inhibitor | serotonin_receptor_agonist | serotonin_receptor_antagonist | serotonin_reuptake_inhibitor | sigma_receptor_agonist | sigma_receptor_antagonist | smoothened_receptor_antagonist | sodium_channel_inhibitor | sphingosine_receptor_agonist | src_inhibitor | steroid | syk_inhibitor | tachykinin_antagonist | tgf-beta_receptor_inhibitor | thrombin_inhibitor | thymidylate_synthase_inhibitor | tlr_agonist | tlr_antagonist | tnf_inhibitor | topoisomerase_inhibitor | transient_receptor_potential_channel_antagonist | tropomyosin_receptor_kinase_inhibitor | trpv_agonist | trpv_antagonist | tubulin_inhibitor | tyrosine_kinase_inhibitor | ubiquitin_specific_protease_inhibitor | vegfr_inhibitor | vitamin_b | vitamin_d_receptor_agonist | wnt_inhibitor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3398 | id_248e8ffb9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14218 | id_9908cd099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 22132 | id_ed55cbe23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 21477 | id_e638db82b | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3547 | id_262b1d2f0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
test_target.head()
| sig_id | 5-alpha_reductase_inhibitor | 11-beta-hsd1_inhibitor | acat_inhibitor | acetylcholine_receptor_agonist | acetylcholine_receptor_antagonist | acetylcholinesterase_inhibitor | adenosine_receptor_agonist | adenosine_receptor_antagonist | adenylyl_cyclase_activator | adrenergic_receptor_agonist | adrenergic_receptor_antagonist | akt_inhibitor | aldehyde_dehydrogenase_inhibitor | alk_inhibitor | ampk_activator | analgesic | androgen_receptor_agonist | androgen_receptor_antagonist | anesthetic_-_local | angiogenesis_inhibitor | angiotensin_receptor_antagonist | anti-inflammatory | antiarrhythmic | antibiotic | anticonvulsant | antifungal | antihistamine | antimalarial | antioxidant | antiprotozoal | antiviral | apoptosis_stimulant | aromatase_inhibitor | atm_kinase_inhibitor | atp-sensitive_potassium_channel_antagonist | atp_synthase_inhibitor | atpase_inhibitor | atr_kinase_inhibitor | aurora_kinase_inhibitor | autotaxin_inhibitor | bacterial_30s_ribosomal_subunit_inhibitor | bacterial_50s_ribosomal_subunit_inhibitor | bacterial_antifolate | bacterial_cell_wall_synthesis_inhibitor | bacterial_dna_gyrase_inhibitor | bacterial_dna_inhibitor | bacterial_membrane_integrity_inhibitor | bcl_inhibitor | bcr-abl_inhibitor | benzodiazepine_receptor_agonist | beta_amyloid_inhibitor | bromodomain_inhibitor | btk_inhibitor | calcineurin_inhibitor | calcium_channel_blocker | cannabinoid_receptor_agonist | cannabinoid_receptor_antagonist | carbonic_anhydrase_inhibitor | casein_kinase_inhibitor | caspase_activator | catechol_o_methyltransferase_inhibitor | cc_chemokine_receptor_antagonist | cck_receptor_antagonist | cdk_inhibitor | chelating_agent | chk_inhibitor | chloride_channel_blocker | cholesterol_inhibitor | cholinergic_receptor_antagonist | coagulation_factor_inhibitor | corticosteroid_agonist | cyclooxygenase_inhibitor | cytochrome_p450_inhibitor | dihydrofolate_reductase_inhibitor | dipeptidyl_peptidase_inhibitor | diuretic | dna_alkylating_agent | dna_inhibitor | dopamine_receptor_agonist | dopamine_receptor_antagonist | egfr_inhibitor | elastase_inhibitor | erbb2_inhibitor | estrogen_receptor_agonist | estrogen_receptor_antagonist | faah_inhibitor | farnesyltransferase_inhibitor | fatty_acid_receptor_agonist | fgfr_inhibitor | flt3_inhibitor | focal_adhesion_kinase_inhibitor | free_radical_scavenger | fungal_squalene_epoxidase_inhibitor | gaba_receptor_agonist | gaba_receptor_antagonist | gamma_secretase_inhibitor | glucocorticoid_receptor_agonist | glutamate_inhibitor | glutamate_receptor_agonist | glutamate_receptor_antagonist | gonadotropin_receptor_agonist | gsk_inhibitor | hcv_inhibitor | hdac_inhibitor | histamine_receptor_agonist | histamine_receptor_antagonist | histone_lysine_demethylase_inhibitor | histone_lysine_methyltransferase_inhibitor | hiv_inhibitor | hmgcr_inhibitor | hsp_inhibitor | igf-1_inhibitor | ikk_inhibitor | imidazoline_receptor_agonist | immunosuppressant | insulin_secretagogue | insulin_sensitizer | integrin_inhibitor | jak_inhibitor | kit_inhibitor | laxative | leukotriene_inhibitor | leukotriene_receptor_antagonist | lipase_inhibitor | lipoxygenase_inhibitor | lxr_agonist | mdm_inhibitor | mek_inhibitor | membrane_integrity_inhibitor | mineralocorticoid_receptor_antagonist | monoacylglycerol_lipase_inhibitor | monoamine_oxidase_inhibitor | monopolar_spindle_1_kinase_inhibitor | mtor_inhibitor | mucolytic_agent | neuropeptide_receptor_antagonist | nfkb_inhibitor | nicotinic_receptor_agonist | nitric_oxide_donor | nitric_oxide_production_inhibitor | nitric_oxide_synthase_inhibitor | norepinephrine_reuptake_inhibitor | nrf2_activator | opioid_receptor_agonist | opioid_receptor_antagonist | orexin_receptor_antagonist | p38_mapk_inhibitor | p-glycoprotein_inhibitor | parp_inhibitor | pdgfr_inhibitor | pdk_inhibitor | phosphodiesterase_inhibitor | phospholipase_inhibitor | pi3k_inhibitor | pkc_inhibitor | potassium_channel_activator | potassium_channel_antagonist | ppar_receptor_agonist | ppar_receptor_antagonist | progesterone_receptor_agonist | progesterone_receptor_antagonist | prostaglandin_inhibitor | prostanoid_receptor_antagonist | proteasome_inhibitor | protein_kinase_inhibitor | protein_phosphatase_inhibitor | protein_synthesis_inhibitor | protein_tyrosine_kinase_inhibitor | radiopaque_medium | raf_inhibitor | ras_gtpase_inhibitor | retinoid_receptor_agonist | retinoid_receptor_antagonist | rho_associated_kinase_inhibitor | ribonucleoside_reductase_inhibitor | rna_polymerase_inhibitor | serotonin_receptor_agonist | serotonin_receptor_antagonist | serotonin_reuptake_inhibitor | sigma_receptor_agonist | sigma_receptor_antagonist | smoothened_receptor_antagonist | sodium_channel_inhibitor | sphingosine_receptor_agonist | src_inhibitor | steroid | syk_inhibitor | tachykinin_antagonist | tgf-beta_receptor_inhibitor | thrombin_inhibitor | thymidylate_synthase_inhibitor | tlr_agonist | tlr_antagonist | tnf_inhibitor | topoisomerase_inhibitor | transient_receptor_potential_channel_antagonist | tropomyosin_receptor_kinase_inhibitor | trpv_agonist | trpv_antagonist | tubulin_inhibitor | tyrosine_kinase_inhibitor | ubiquitin_specific_protease_inhibitor | vegfr_inhibitor | vitamin_b | vitamin_d_receptor_agonist | wnt_inhibitor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12276 | id_843baf550 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8181 | id_57dc82c5a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4667 | id_322b2f678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15548 | id_a76c49729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15206 | id_a35ce02ff | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Use the training dataset to develop an algorithm that automatically labels each case in the test set as one or more MoA classes.
This is a multi-label classification problem. (Each class is defined by k of n labels)
For every sig_id you will be predicting the probability that the sample had a positive response for each MOA target.
For N sig_id rows and M MOA targets, the model will be making N×M predictions. Model are assessed by the log loss:
$score = -\frac{1}{M}\sum^{M}_{m=1}{\frac{1}{N}\sum^{N}_i=1}[y_{i,m} log(\hat y_{i,m}) + (1-y_{i,m})log(1-\hat y_{i,m})]$
train_features.csv - Features for the training set. Features g- signify gene expression data, and c- signify cell viability data. cp_type indicates samples treated with a compound (cp_vehicle) or with a control perturbation (ctrl_vehicle); control perturbations have no MoAs; cp_time and cp_dose indicate treatment duration (24, 48, 72 hours) and dose (high or low).
train_drug.csv - This file contains an anonymous drug_id for the training set only.
train_targets_scored.csv - The binary MoA targets that are scored.
train_targets_nonscored.csv - Additional (optional) binary MoA responses for the training data. These are not predicted nor scored.
# review of the training and testing dataset
train_features.head()
| sig_id | cp_type | cp_time | cp_dose | g-0 | g-1 | g-2 | g-3 | g-4 | g-5 | g-6 | g-7 | g-8 | g-9 | g-10 | g-11 | g-12 | g-13 | g-14 | g-15 | g-16 | g-17 | g-18 | g-19 | g-20 | g-21 | g-22 | g-23 | g-24 | g-25 | g-26 | g-27 | g-28 | g-29 | g-30 | g-31 | g-32 | g-33 | g-34 | g-35 | g-36 | g-37 | g-38 | g-39 | g-40 | g-41 | g-42 | g-43 | g-44 | g-45 | g-46 | g-47 | g-48 | g-49 | g-50 | g-51 | g-52 | g-53 | g-54 | g-55 | g-56 | g-57 | g-58 | g-59 | g-60 | g-61 | g-62 | g-63 | g-64 | g-65 | g-66 | g-67 | g-68 | g-69 | g-70 | g-71 | g-72 | g-73 | g-74 | g-75 | g-76 | g-77 | g-78 | g-79 | g-80 | g-81 | g-82 | g-83 | g-84 | g-85 | g-86 | g-87 | g-88 | g-89 | g-90 | g-91 | g-92 | g-93 | g-94 | g-95 | g-96 | g-97 | g-98 | g-99 | g-100 | g-101 | g-102 | g-103 | g-104 | g-105 | g-106 | g-107 | g-108 | g-109 | g-110 | g-111 | g-112 | g-113 | g-114 | g-115 | g-116 | g-117 | g-118 | g-119 | g-120 | g-121 | g-122 | g-123 | g-124 | g-125 | g-126 | g-127 | g-128 | g-129 | g-130 | g-131 | g-132 | g-133 | g-134 | g-135 | g-136 | g-137 | g-138 | g-139 | g-140 | g-141 | g-142 | g-143 | g-144 | g-145 | g-146 | g-147 | g-148 | g-149 | g-150 | g-151 | g-152 | g-153 | g-154 | g-155 | g-156 | g-157 | g-158 | g-159 | g-160 | g-161 | g-162 | g-163 | g-164 | g-165 | g-166 | g-167 | g-168 | g-169 | g-170 | g-171 | g-172 | g-173 | g-174 | g-175 | g-176 | g-177 | g-178 | g-179 | g-180 | g-181 | g-182 | g-183 | g-184 | g-185 | g-186 | g-187 | g-188 | g-189 | g-190 | g-191 | g-192 | g-193 | g-194 | g-195 | g-196 | g-197 | g-198 | g-199 | g-200 | g-201 | g-202 | g-203 | g-204 | g-205 | g-206 | g-207 | g-208 | g-209 | g-210 | g-211 | g-212 | g-213 | g-214 | g-215 | g-216 | g-217 | g-218 | g-219 | g-220 | g-221 | g-222 | g-223 | g-224 | g-225 | g-226 | g-227 | g-228 | g-229 | g-230 | g-231 | g-232 | g-233 | g-234 | g-235 | g-236 | g-237 | g-238 | g-239 | g-240 | g-241 | g-242 | g-243 | g-244 | g-245 | g-246 | g-247 | g-248 | g-249 | g-250 | g-251 | g-252 | g-253 | g-254 | g-255 | g-256 | g-257 | g-258 | g-259 | g-260 | g-261 | g-262 | g-263 | g-264 | g-265 | g-266 | g-267 | g-268 | g-269 | g-270 | g-271 | g-272 | g-273 | g-274 | g-275 | g-276 | g-277 | g-278 | g-279 | g-280 | g-281 | g-282 | g-283 | g-284 | g-285 | g-286 | g-287 | g-288 | g-289 | g-290 | g-291 | g-292 | g-293 | g-294 | g-295 | g-296 | g-297 | g-298 | g-299 | g-300 | g-301 | g-302 | g-303 | g-304 | g-305 | g-306 | g-307 | g-308 | g-309 | g-310 | g-311 | g-312 | g-313 | g-314 | g-315 | g-316 | g-317 | g-318 | g-319 | g-320 | g-321 | g-322 | g-323 | g-324 | g-325 | g-326 | g-327 | g-328 | g-329 | g-330 | g-331 | g-332 | g-333 | g-334 | g-335 | g-336 | g-337 | g-338 | g-339 | g-340 | g-341 | g-342 | g-343 | g-344 | g-345 | g-346 | g-347 | g-348 | g-349 | g-350 | g-351 | g-352 | g-353 | g-354 | g-355 | g-356 | g-357 | g-358 | g-359 | g-360 | g-361 | g-362 | g-363 | g-364 | g-365 | g-366 | g-367 | g-368 | g-369 | g-370 | g-371 | g-372 | g-373 | g-374 | g-375 | g-376 | g-377 | g-378 | g-379 | g-380 | g-381 | g-382 | g-383 | g-384 | g-385 | g-386 | g-387 | g-388 | g-389 | g-390 | g-391 | g-392 | g-393 | g-394 | g-395 | g-396 | g-397 | g-398 | g-399 | g-400 | g-401 | g-402 | g-403 | g-404 | g-405 | g-406 | g-407 | g-408 | g-409 | g-410 | g-411 | g-412 | g-413 | g-414 | g-415 | g-416 | g-417 | g-418 | g-419 | g-420 | g-421 | g-422 | g-423 | g-424 | g-425 | g-426 | g-427 | g-428 | g-429 | g-430 | g-431 | g-432 | g-433 | g-434 | g-435 | g-436 | g-437 | g-438 | g-439 | g-440 | g-441 | g-442 | g-443 | g-444 | g-445 | g-446 | g-447 | g-448 | g-449 | g-450 | g-451 | g-452 | g-453 | g-454 | g-455 | g-456 | g-457 | g-458 | g-459 | g-460 | g-461 | g-462 | g-463 | g-464 | g-465 | g-466 | g-467 | g-468 | g-469 | g-470 | g-471 | g-472 | g-473 | g-474 | g-475 | g-476 | g-477 | g-478 | g-479 | g-480 | g-481 | g-482 | g-483 | g-484 | g-485 | g-486 | g-487 | g-488 | g-489 | g-490 | g-491 | g-492 | g-493 | g-494 | g-495 | g-496 | g-497 | g-498 | g-499 | g-500 | g-501 | g-502 | g-503 | g-504 | g-505 | g-506 | g-507 | g-508 | g-509 | g-510 | g-511 | g-512 | g-513 | g-514 | g-515 | g-516 | g-517 | g-518 | g-519 | g-520 | g-521 | g-522 | g-523 | g-524 | g-525 | g-526 | g-527 | g-528 | g-529 | g-530 | g-531 | g-532 | g-533 | g-534 | g-535 | g-536 | g-537 | g-538 | g-539 | g-540 | g-541 | g-542 | g-543 | g-544 | g-545 | g-546 | g-547 | g-548 | g-549 | g-550 | g-551 | g-552 | g-553 | g-554 | g-555 | g-556 | g-557 | g-558 | g-559 | g-560 | g-561 | g-562 | g-563 | g-564 | g-565 | g-566 | g-567 | g-568 | g-569 | g-570 | g-571 | g-572 | g-573 | g-574 | g-575 | g-576 | g-577 | g-578 | g-579 | g-580 | g-581 | g-582 | g-583 | g-584 | g-585 | g-586 | g-587 | g-588 | g-589 | g-590 | g-591 | g-592 | g-593 | g-594 | g-595 | g-596 | g-597 | g-598 | g-599 | g-600 | g-601 | g-602 | g-603 | g-604 | g-605 | g-606 | g-607 | g-608 | g-609 | g-610 | g-611 | g-612 | g-613 | g-614 | g-615 | g-616 | g-617 | g-618 | g-619 | g-620 | g-621 | g-622 | g-623 | g-624 | g-625 | g-626 | g-627 | g-628 | g-629 | g-630 | g-631 | g-632 | g-633 | g-634 | g-635 | g-636 | g-637 | g-638 | g-639 | g-640 | g-641 | g-642 | g-643 | g-644 | g-645 | g-646 | g-647 | g-648 | g-649 | g-650 | g-651 | g-652 | g-653 | g-654 | g-655 | g-656 | g-657 | g-658 | g-659 | g-660 | g-661 | g-662 | g-663 | g-664 | g-665 | g-666 | g-667 | g-668 | g-669 | g-670 | g-671 | g-672 | g-673 | g-674 | g-675 | g-676 | g-677 | g-678 | g-679 | g-680 | g-681 | g-682 | g-683 | g-684 | g-685 | g-686 | g-687 | g-688 | g-689 | g-690 | g-691 | g-692 | g-693 | g-694 | g-695 | g-696 | g-697 | g-698 | g-699 | g-700 | g-701 | g-702 | g-703 | g-704 | g-705 | g-706 | g-707 | g-708 | g-709 | g-710 | g-711 | g-712 | g-713 | g-714 | g-715 | g-716 | g-717 | g-718 | g-719 | g-720 | g-721 | g-722 | g-723 | g-724 | g-725 | g-726 | g-727 | g-728 | g-729 | g-730 | g-731 | g-732 | g-733 | g-734 | g-735 | g-736 | g-737 | g-738 | g-739 | g-740 | g-741 | g-742 | g-743 | g-744 | g-745 | g-746 | g-747 | g-748 | g-749 | g-750 | g-751 | g-752 | g-753 | g-754 | g-755 | g-756 | g-757 | g-758 | g-759 | g-760 | g-761 | g-762 | g-763 | g-764 | g-765 | g-766 | g-767 | g-768 | g-769 | g-770 | g-771 | c-0 | c-1 | c-2 | c-3 | c-4 | c-5 | c-6 | c-7 | c-8 | c-9 | c-10 | c-11 | c-12 | c-13 | c-14 | c-15 | c-16 | c-17 | c-18 | c-19 | c-20 | c-21 | c-22 | c-23 | c-24 | c-25 | c-26 | c-27 | c-28 | c-29 | c-30 | c-31 | c-32 | c-33 | c-34 | c-35 | c-36 | c-37 | c-38 | c-39 | c-40 | c-41 | c-42 | c-43 | c-44 | c-45 | c-46 | c-47 | c-48 | c-49 | c-50 | c-51 | c-52 | c-53 | c-54 | c-55 | c-56 | c-57 | c-58 | c-59 | c-60 | c-61 | c-62 | c-63 | c-64 | c-65 | c-66 | c-67 | c-68 | c-69 | c-70 | c-71 | c-72 | c-73 | c-74 | c-75 | c-76 | c-77 | c-78 | c-79 | c-80 | c-81 | c-82 | c-83 | c-84 | c-85 | c-86 | c-87 | c-88 | c-89 | c-90 | c-91 | c-92 | c-93 | c-94 | c-95 | c-96 | c-97 | c-98 | c-99 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3398 | id_248e8ffb9 | trt_cp | 72 | D1 | 0.4720 | 0.1419 | 1.2340 | -0.0057 | -0.0911 | 0.2410 | -0.8717 | 0.0135 | 0.3493 | 0.6811 | 0.7140 | 0.1887 | 0.2725 | 0.1123 | 0.6453 | 0.4442 | -0.2373 | 0.3990 | -0.0692 | -0.3642 | -0.4664 | 0.6897 | 0.0481 | -0.2889 | 0.0993 | -0.2063 | 0.3582 | 0.6302 | 0.3224 | 0.5446 | 0.9693 | -0.0580 | 0.7535 | -0.5612 | 0.3088 | -0.7069 | -0.2801 | 0.3787 | 0.1803 | -0.0121 | -0.2536 | -1.0610 | -0.8663 | -0.1441 | 1.5680 | -0.3688 | -0.5008 | 0.4206 | 0.6536 | 0.2332 | 0.4886 | 0.2253 | 0.7554 | 0.2403 | -0.2562 | 0.6948 | -3.7700 | 0.6281 | 0.2524 | -0.0277 | 0.6064 | 0.2324 | 0.7034 | 0.7585 | 0.3465 | 0.2081 | -0.1364 | 0.7235 | 0.1890 | -0.2038 | 0.4679 | 0.1603 | 0.8130 | -0.3708 | -0.8269 | 0.5570 | -0.1521 | -1.1720 | -0.7718 | 0.4962 | -0.2962 | 0.4041 | 0.6985 | -0.4771 | 0.3628 | -0.7007 | -0.0834 | 1.3550 | 0.5939 | -0.4810 | 0.8269 | -0.9773 | 0.2720 | 0.0150 | 0.3308 | 0.0462 | 0.9807 | -0.4678 | -0.1629 | 0.5652 | -0.7909 | -0.3317 | -0.3041 | -0.7765 | 0.3929 | 0.2806 | -0.2997 | 0.0297 | 0.2516 | 0.7912 | -0.0277 | -0.3650 | 0.7923 | 1.1710 | 0.5946 | -0.0003 | -0.2305 | 1.1000 | 0.3190 | 0.3078 | -0.4188 | 1.0140 | -0.0580 | 0.1488 | -0.0155 | -0.9067 | -0.9141 | 0.1225 | 0.4488 | 0.1645 | -0.4259 | -0.0217 | 0.0000 | -0.5446 | -0.5133 | -0.5638 | 0.3978 | 0.0234 | 0.3434 | -0.4541 | 0.3246 | -0.3262 | -0.1457 | 0.3334 | -0.3503 | 1.3790 | -0.9252 | -0.7129 | 0.3000 | 0.3673 | 0.3394 | 0.3270 | -0.3314 | -0.1273 | 0.6144 | -0.2685 | 0.3517 | 0.1856 | -0.5720 | -0.7771 | 0.7167 | -0.4932 | -0.2680 | -0.1384 | 0.1748 | -0.0992 | -0.4438 | 0.9316 | -1.0990 | -0.0561 | -0.3303 | 0.2060 | 0.8681 | 0.0648 | 0.2324 | -0.1855 | -0.1547 | -0.8109 | -0.3122 | 0.6035 | -0.2672 | -0.2714 | -0.1384 | 0.1326 | 0.5382 | 0.4850 | 0.1551 | 0.6940 | -0.3140 | 0.3677 | -0.1704 | 0.1455 | 0.8168 | -0.3629 | 0.4730 | 0.0654 | 0.5081 | 0.1983 | 0.2038 | 0.2330 | -0.2455 | -0.0965 | 0.1820 | 0.7775 | 0.1905 | -0.4416 | 0.4520 | -0.0796 | -0.7482 | 0.3770 | -0.0966 | 1.0770 | 0.1364 | 0.0752 | 0.6315 | -0.5565 | -0.4284 | 1.0580 | 0.7432 | -0.1531 | -0.1441 | -0.0251 | 0.6279 | 0.4780 | -0.9244 | -0.5389 | -0.5898 | -0.3708 | 1.1620 | 0.4353 | -0.2804 | -0.6569 | -0.0959 | 0.4874 | 0.1850 | 0.1239 | -0.2626 | -0.9216 | 0.0000 | 0.0878 | 0.3332 | 0.6927 | 0.1248 | -0.8233 | 0.2138 | -0.1171 | 0.0000 | 0.6072 | -0.4298 | -0.1231 | 0.3628 | -0.7907 | -1.1480 | -0.5342 | 0.0204 | 0.3678 | -0.5601 | -0.4925 | 0.6046 | -0.2246 | -0.6891 | -0.0411 | 0.3372 | 0.5045 | -0.6819 | -0.4131 | -0.2208 | -0.2442 | -0.1297 | 0.3553 | 0.0350 | -0.5359 | -0.4371 | 1.4220 | -0.1025 | -0.2839 | -0.0789 | 0.3810 | -0.1183 | -0.2305 | 0.0925 | 0.1045 | 1.2880 | -0.9276 | 0.5041 | 0.6319 | 2.0210 | 0.2799 | 0.1538 | -0.0418 | -0.0531 | 0.3988 | 0.3450 | 0.2457 | 0.8063 | -0.3637 | 0.9918 | 0.3740 | -0.4128 | 0.2577 | -0.4638 | 0.2729 | 0.1989 | 0.1794 | 0.0234 | -0.1996 | 0.1019 | 0.0000 | -0.6502 | -0.1470 | 0.2352 | -0.8686 | 0.4998 | -1.2050 | -0.0876 | -0.4466 | -0.0428 | -0.1069 | 0.8184 | -0.4084 | -0.2310 | -0.2391 | 0.7287 | -0.8955 | 0.4004 | -0.2874 | -0.3715 | 0.4493 | -0.5716 | -0.2706 | -0.2684 | -0.2606 | 0.9036 | -0.3325 | 0.2725 | 0.1777 | -0.1937 | -0.3740 | 0.1609 | 0.3214 | -0.3202 | -0.2812 | 0.2917 | 0.1531 | -0.4284 | 0.2216 | 0.4863 | -0.5310 | -0.0576 | -0.0067 | 0.3272 | 0.3602 | -0.0155 | 0.7498 | -0.0940 | 0.1206 | -0.0700 | 0.5596 | -0.3830 | -1.0410 | 0.8573 | 0.0958 | 1.1890 | 0.3467 | 0.8388 | 0.0527 | -0.1567 | -0.1479 | 0.3493 | -0.3126 | 0.0000 | -0.6815 | -0.3949 | 0.7843 | -0.6365 | 1.1140 | -3.6580 | -0.7200 | 0.5073 | -0.9623 | 1.7160 | 0.3859 | -0.1599 | 2.5370 | -0.0561 | 0.0338 | -0.1958 | 0.2060 | -0.1979 | 0.3683 | -0.1619 | 1.5990 | -0.4578 | -0.0051 | 0.2293 | 0.5936 | -0.6730 | -0.3368 | 0.0179 | 1.2660 | 0.0536 | -1.1770 | -1.3290 | -0.8482 | -0.1409 | -0.8978 | 1.0060 | -0.0458 | -0.1705 | -0.0371 | -0.2792 | -0.6878 | 0.5290 | 0.6991 | 0.5070 | 0.4534 | -0.2584 | -0.7230 | -0.4337 | -0.2228 | -0.2769 | -0.1244 | 0.0335 | 0.2648 | 0.4784 | 0.3238 | -0.4792 | -0.1447 | -0.1041 | -0.2944 | 0.8827 | 0.4032 | 0.3531 | 0.4480 | 0.9130 | -0.3362 | 0.6729 | 0.2654 | 0.2794 | 0.5076 | 0.0101 | -0.0534 | 0.6752 | -0.3135 | -0.0660 | -0.2729 | 0.7341 | -0.1962 | -0.0550 | 0.6075 | -0.2591 | 0.0255 | 1.2650 | 0.1272 | -0.9554 | -0.5107 | 0.7555 | 0.0863 | -0.3456 | -0.2909 | -0.3942 | 0.9318 | 0.0127 | 0.1229 | -0.0962 | -0.3726 | 0.1811 | 0.1378 | -0.3095 | 0.1290 | 0.0600 | 0.2847 | -0.5960 | -0.2738 | -0.3382 | -0.0431 | 0.2760 | -0.2080 | -0.2988 | 1.1700 | 0.3225 | 0.3487 | -0.0714 | -1.8100 | -0.6262 | 0.5608 | -0.0175 | -0.5735 | 0.3384 | 1.1790 | 0.0831 | 0.1594 | -0.7274 | 0.1530 | -0.1838 | 0.0965 | 0.1191 | 0.1579 | -0.3596 | 0.2200 | 0.3052 | -0.1337 | -1.0980 | 0.7261 | -0.3652 | -0.0022 | 0.2797 | -1.0810 | 0.1717 | 0.2698 | 0.3204 | -0.3676 | 0.0702 | 0.8797 | -1.2850 | 1.5310 | -0.0934 | -0.6107 | -0.3314 | -0.1176 | -0.0377 | -0.3253 | 0.6661 | 0.4494 | 0.2485 | 0.6646 | -0.2620 | 0.1990 | 0.0931 | 0.4038 | -0.1618 | -0.7225 | -0.5920 | -0.7095 | 0.6049 | -0.3099 | 0.2165 | -0.9167 | 0.0252 | 0.2902 | 0.1310 | -0.1042 | 0.8054 | -0.6336 | 1.8290 | 0.5814 | 0.1781 | -0.5513 | -0.1049 | -0.4270 | -0.1413 | -0.2229 | 0.6557 | -0.0869 | 0.3191 | 0.4035 | 3.1910 | 0.1514 | -0.5138 | -0.6161 | -0.2792 | 0.5358 | 0.7187 | 0.4101 | 0.0989 | -0.2346 | -0.9556 | -0.0360 | -1.2040 | 0.2709 | -1.8180 | 0.6641 | 0.4067 | 0.7871 | 0.5939 | -0.6870 | -0.1356 | 0.9689 | -0.2781 | -0.0770 | -0.3558 | -0.3575 | -0.0541 | 0.0500 | 0.2044 | 0.3447 | 1.0300 | 0.4234 | 0.1513 | -0.3747 | -0.4731 | -0.2006 | -0.6104 | -0.1318 | -0.0714 | 0.2860 | 0.0867 | 0.6102 | 1.2410 | -0.6326 | -0.1383 | 0.3584 | -0.3256 | -0.0097 | 0.6514 | 0.2012 | 0.0750 | 0.2588 | -0.6174 | -0.5586 | -1.4150 | 0.4384 | -0.0500 | -0.1578 | 1.0950 | 0.9078 | -0.5739 | 0.5347 | -0.0364 | -0.2984 | -0.5265 | -0.4723 | -0.5071 | -0.2709 | 0.2312 | -0.8223 | -0.0222 | 0.2431 | -1.6970 | -0.0301 | -0.0391 | 0.0899 | 0.4365 | -1.0030 | 0.1199 | 0.0764 | 0.5810 | -0.0936 | -0.0193 | 0.4015 | 0.1238 | 0.6536 | -0.0708 | -0.0254 | -0.1027 | -0.2643 | -0.6852 | -0.3773 | -0.3407 | -0.4757 | -0.6766 | -0.2443 | 0.7211 | 0.1495 | 0.3645 | 0.8615 | -0.2058 | 0.4070 | 0.0678 | -0.7170 | 0.3115 | 0.9636 | -0.1343 | 0.7204 | -0.0430 | -0.6118 | 1.2150 | 0.8809 | -0.2761 | 0.9877 | 0.2349 | -0.0739 | -0.2244 | 0.6989 | -0.6270 | 0.8359 | -0.2456 | 0.2866 | 0.6802 | -0.3336 | 0.3032 | 0.7620 | -0.5580 | -0.1549 | -0.0908 | 0.1872 | -0.0265 | 0.0587 | -0.2337 | 0.4516 | -0.1282 | 0.3720 | -1.6540 | -0.8153 | -1.0370 | -0.3118 | -0.2924 | -0.1905 | -0.4933 | -0.6302 | -0.4474 | 0.1821 | 0.4436 | 0.5951 | -0.5001 | -0.2725 | 0.1200 | 0.0000 | 0.3350 | 0.3423 | -0.2701 | 0.1987 | -0.9478 | -0.2927 | 0.5217 | 0.8529 | -0.4727 | -0.1586 | -0.0883 | -0.1114 | 0.1291 | -0.2954 | -0.7224 | -0.1538 | -0.0702 | -0.6000 | -0.2698 | 0.0247 | -0.5051 | -0.1636 | 1.3340 | 0.2358 | -0.7406 | 0.7409 | -0.0634 | 0.2987 | -0.3532 | 1.0180 | 0.4808 | 0.4440 | 0.1062 | 0.1704 | 0.3964 | 0.0196 | -0.6464 | -0.7026 | -3.0890 | -0.2540 | -1.0710 | 0.9238 | -0.3652 | 0.2297 | 1.4520 | 0.7447 | -0.1815 | 0.5649 | 0.1817 | -0.2937 | -0.1784 | 0.0215 | -0.4211 | 0.0837 | -0.0066 | -0.4748 | 0.0955 | 0.0575 | 1.6360 | -0.2013 | -0.6367 | 0.6093 | 0.6482 | -0.2409 | -0.0884 | 0.1221 | -0.3541 | -0.6384 | -0.1507 | 0.0261 | 0.0585 | 0.1678 | 0.2574 | -0.1458 | 0.2744 | -0.7857 | 0.1500 | 0.0666 | 0.1131 | 0.3086 | 0.0472 | 0.6668 | 0.2298 | 0.1818 | 0.6436 | -0.1346 | 0.5656 | -0.5927 | -0.8505 | 0.0874 | 0.5917 | 0.2262 | 0.3038 | 0.1036 | 0.6890 | -0.5311 | -0.4023 | -0.1433 | 0.4986 | 0.0919 | -0.1387 | -0.2938 | -0.3111 | -0.7643 | -0.1310 | -0.0564 | 0.2086 | -0.3739 | -0.6299 | 0.1938 | 0.6858 | 0.8561 | -0.0859 | -0.4144 | 0.3192 | 0.1021 | -0.1341 | -0.4381 | 0.1656 | 0.5185 | -0.0485 | 0.2558 | -1.5410 | 0.5239 | -0.1015 | -0.9810 | 0.5986 | 0.4147 | 0.2444 | -0.3656 | -0.0717 | 1.1210 | -0.2044 | 0.0898 | 0.5739 | 0.3435 | 0.0419 | -0.1146 | 0.6618 | 0.2079 | -0.3788 | 0.6100 | -0.0361 | 0.5885 | -0.3301 | 0.2882 | -0.2505 | -0.7039 | -0.7816 | -0.1358 | 0.0677 | 0.2065 | -0.7324 | 0.6226 | -0.2500 | 0.1578 | 0.5265 | 0.0871 | -0.4861 | 0.3178 | 0.4900 | 0.7219 | -0.1344 | -0.2595 |
| 14218 | id_9908cd099 | trt_cp | 72 | D2 | -0.3158 | 0.8177 | 0.0701 | -0.2758 | 0.0029 | -4.6850 | -0.2011 | 0.6514 | -0.0514 | 0.6010 | -0.2656 | 0.0889 | 4.9550 | -0.6653 | -0.9908 | 0.2441 | 1.7810 | -0.8020 | 0.2576 | 0.1824 | -0.2335 | -0.2463 | -0.4961 | -0.6468 | 0.0619 | 0.2470 | 1.3830 | 0.0142 | 0.2944 | 0.1275 | 0.1806 | -0.3934 | -0.1976 | -0.0121 | -0.1390 | -0.2695 | -0.2295 | 0.1230 | -0.8702 | -0.2266 | -0.7892 | -0.5480 | 0.3901 | -0.5864 | -1.1330 | -0.2038 | -0.5362 | 0.0155 | -0.2316 | 0.8293 | -0.7612 | -0.0366 | 0.2351 | -0.3615 | -0.7040 | 0.7009 | 0.5207 | 0.5047 | 1.4000 | -0.9054 | 0.2734 | -0.0582 | -0.6289 | 0.1997 | 0.7021 | -0.9662 | 0.8772 | 0.9417 | -0.2700 | 0.6893 | 0.3877 | -1.0520 | 0.2094 | 0.2781 | -0.7220 | 0.1770 | 1.2240 | 0.2311 | -0.6787 | 0.1079 | -0.1637 | 0.6391 | 0.6511 | -1.0140 | 0.0985 | -0.6080 | -1.1030 | -0.8918 | -0.6229 | 1.9080 | 0.4466 | -0.6023 | -0.3299 | -0.2116 | 0.5102 | -1.0750 | 0.2901 | 0.9844 | 0.3004 | -0.6873 | -1.0040 | 1.9640 | 0.2191 | -0.9509 | 0.5362 | -0.3151 | 0.3324 | -0.0230 | -1.9920 | 1.5130 | -0.1247 | -0.2190 | 0.5342 | -3.9510 | 0.2538 | -1.4600 | 0.3535 | 0.1981 | 0.2538 | 1.0640 | 0.5518 | 0.0589 | -0.8049 | -0.8765 | -1.0010 | 0.1688 | -0.1187 | 0.1224 | -0.2128 | 2.8790 | 0.6348 | 1.6180 | -0.4803 | 0.0353 | -0.3382 | 0.1012 | -0.3473 | 0.7512 | -0.0045 | 0.1966 | -0.1731 | 2.1200 | 0.2004 | -0.7107 | -0.8740 | -1.0910 | 0.0394 | -0.1132 | 1.0350 | -0.2164 | 0.5905 | -0.0713 | 0.4734 | -0.4938 | 0.1229 | -0.9519 | -0.3587 | 0.6475 | -0.5459 | -0.5418 | 1.1990 | -0.4283 | 0.5734 | -0.3781 | 0.9622 | 0.1753 | -0.4398 | 0.6718 | -0.9918 | 0.7547 | -0.0403 | 0.7993 | 0.7224 | 0.0379 | -0.3151 | 0.7893 | 0.0517 | 0.5382 | 0.3372 | 0.4660 | 0.3810 | 0.2570 | 1.0480 | 1.3150 | 0.0985 | -0.4429 | -0.0442 | 0.6794 | 0.2685 | 0.0116 | -2.0220 | -2.0150 | -1.5220 | -0.0510 | 0.7635 | 1.4360 | 0.2766 | -0.1605 | 0.1817 | 0.0993 | -0.5477 | 0.1060 | -0.1993 | -0.3918 | -0.1300 | -0.2964 | -0.0902 | 0.9211 | 2.5430 | 1.1030 | 0.6876 | 0.2307 | 1.2630 | -0.2141 | 0.6012 | 0.7023 | 0.1271 | 0.8230 | 5.4980 | 0.7925 | -0.3979 | -0.3650 | 0.3267 | 0.5453 | 1.1360 | -0.8456 | -0.3289 | -3.0120 | 0.9161 | -0.2899 | -0.0436 | 0.1100 | -0.3117 | -1.3830 | 0.5012 | 0.1727 | 0.0198 | 1.3420 | -0.7555 | 0.9145 | -0.3285 | -1.0420 | 0.3062 | -0.4130 | 0.1555 | 0.3607 | -0.6664 | 0.2289 | 0.3407 | -0.5737 | 0.4694 | -0.4771 | -0.4144 | 1.1150 | 0.3066 | 0.1883 | -0.1420 | -0.2452 | 0.5853 | -0.8226 | -1.4680 | -0.7152 | -0.6070 | -0.0969 | -0.8695 | -0.2361 | 0.4421 | -0.7175 | -0.5653 | -0.4024 | 0.3365 | 0.4948 | -0.3656 | -0.9827 | 0.3357 | 1.0750 | 1.0510 | 0.4455 | 0.4983 | 0.7844 | 2.5140 | 0.6538 | 0.7731 | -0.3131 | 1.2440 | 1.1630 | -0.2348 | 0.0710 | 0.2975 | -0.0362 | 0.4015 | 1.6550 | -0.1477 | 0.1712 | -0.2937 | -0.1059 | 1.0770 | 0.0935 | 0.3957 | -0.6524 | 0.5210 | -0.3351 | 0.0239 | 0.4158 | 1.2380 | 0.0398 | -0.7002 | -0.0573 | 0.8667 | -0.1055 | -0.8131 | -0.8674 | 0.7214 | 1.8010 | 0.0921 | -0.6346 | -0.1526 | -0.3578 | 1.1400 | -0.0780 | -0.6852 | 0.0228 | -0.2213 | 1.9830 | 0.7426 | -3.6980 | -0.3643 | 0.2982 | -0.6424 | 0.7607 | 0.0118 | 0.3109 | -0.0718 | -0.3983 | -0.7420 | -0.1701 | 0.4539 | 0.2550 | 1.5720 | 0.4861 | -0.3803 | -0.0379 | 0.3686 | -0.2639 | 0.1885 | 0.0733 | -1.0360 | -1.5930 | -0.1448 | 0.5451 | -1.8140 | -0.0718 | 0.9023 | 0.1989 | -0.6886 | 1.0790 | -0.9276 | -0.1827 | -0.7424 | -0.0818 | 0.0964 | 0.2000 | 0.2942 | -0.4947 | -1.1060 | -0.3148 | -0.2288 | -0.8482 | -0.3159 | 0.9295 | -1.5850 | 0.2285 | -0.2413 | 0.0441 | -0.6938 | 3.6840 | -1.2620 | -0.4023 | -0.4963 | -0.3656 | 1.6320 | 0.3554 | 0.0940 | 0.3972 | 1.3120 | -0.1633 | 0.0851 | -0.2818 | -0.9318 | 0.7550 | 0.0442 | 0.5106 | -0.2088 | -1.1120 | -1.9430 | 1.1020 | 0.3602 | -0.5858 | -0.4857 | -0.1491 | 0.1407 | 1.4270 | 0.4453 | -0.3240 | 0.0617 | -0.0015 | -0.7510 | -0.0593 | 0.3539 | -1.0470 | 0.5360 | 0.5925 | 0.0868 | 2.2260 | 0.7367 | 0.5078 | -0.7858 | -0.3469 | -1.1440 | -0.4288 | -0.5824 | -0.2854 | 0.7254 | 0.1490 | 0.6745 | 1.2880 | 0.5358 | -0.1655 | -1.4200 | 0.6852 | -1.8910 | -1.0510 | -0.2863 | -0.7643 | -0.0203 | -0.3258 | 0.1432 | -0.3763 | -1.0960 | -0.2959 | 0.3628 | 0.3233 | 0.2720 | -0.3142 | -0.7829 | 0.7801 | 0.1501 | 1.2090 | 0.4747 | -0.3221 | -0.8381 | 0.7478 | 0.7225 | 0.8964 | -0.5106 | 0.3568 | 0.2837 | 0.7473 | -0.7458 | 1.2530 | -0.0635 | 0.1043 | 0.4686 | -0.7297 | -0.0949 | 0.9272 | 0.2559 | -0.3490 | -0.1341 | 1.8820 | 1.0890 | -0.3542 | 0.6380 | -0.5203 | 1.2030 | 1.0430 | 0.3702 | -1.0780 | -0.1737 | 0.2199 | -0.1711 | -0.1420 | 0.0398 | -1.7070 | -0.1914 | 0.5984 | 0.3368 | 0.9397 | -0.3352 | -0.2160 | 0.4201 | -0.0995 | 0.5173 | -0.3251 | -0.4944 | 0.7211 | -0.6502 | -0.6367 | -0.0799 | 0.3086 | 1.2480 | 0.1942 | -0.9162 | 1.5360 | -0.6308 | 2.3490 | -0.5716 | 0.0160 | -0.0285 | 0.2484 | 0.7645 | 0.7021 | 0.3916 | -0.3249 | -0.5323 | -0.4073 | 0.6390 | 1.0640 | 0.2269 | -0.6528 | -2.2590 | -0.3415 | -0.2149 | 0.4723 | -0.2979 | 0.0832 | -0.3909 | 0.0276 | 0.1916 | 0.8005 | -0.1181 | -0.0164 | -0.0230 | 4.8560 | 0.4150 | 0.3293 | 0.2988 | -0.9150 | 0.3386 | 0.0444 | 0.7254 | -0.0228 | -0.8720 | 0.1781 | 0.4374 | -0.1558 | 1.1500 | -0.6723 | 2.8920 | -0.1451 | -0.8529 | -0.2291 | 0.1427 | 0.1211 | 0.7858 | -0.7944 | -0.0806 | -0.3029 | 0.4873 | -0.5273 | 0.0898 | -0.5106 | 0.1822 | -0.0677 | -0.5885 | 1.0690 | -0.3062 | 0.4919 | 0.1010 | -0.4488 | -0.5467 | 0.0561 | 0.0475 | 0.6968 | -0.2955 | -0.0849 | -0.8662 | -0.7502 | -0.6459 | -2.6280 | -0.2796 | 0.1597 | 2.1470 | -0.2401 | -0.0670 | -1.4260 | 0.4691 | 0.3094 | 0.8269 | 0.8125 | -0.0887 | 0.9985 | -0.1176 | 0.1264 | -0.0490 | 0.6212 | 1.1230 | 0.3909 | -1.0580 | -0.2862 | 0.5988 | 0.0668 | 0.3094 | -0.2914 | -2.0900 | 0.1282 | -0.0968 | 0.6503 | 5.5050 | 1.1220 | -0.1613 | 0.5419 | -0.0784 | 0.0486 | -0.5166 | 0.1203 | -0.3372 | -3.1080 | 0.1093 | 0.1834 | -1.3370 | -0.2391 | -0.4849 | 0.2340 | 0.5049 | -0.3854 | -1.9250 | 1.2100 | -0.3575 | -0.4515 | 0.3074 | 0.2946 | 0.4665 | -0.6077 | -1.1480 | -0.2226 | 0.7326 | -0.3423 | 0.4613 | 0.7110 | -0.4247 | -0.1571 | -1.5060 | -1.1980 | -1.4760 | -0.1314 | 0.4309 | 0.2362 | -0.1499 | 0.2633 | -1.6330 | 0.2861 | 0.3497 | 1.1260 | -5.4940 | -0.2759 | 0.4089 | -0.7514 | 0.2700 | -0.3285 | -2.2890 | 0.2757 | -0.0779 | -0.4169 | 0.5123 | 1.3990 | 0.3678 | 0.2549 | 0.2639 | 0.6603 | -0.7154 | -0.0673 | 0.7372 | 1.0960 | -0.6308 | 0.2263 | 0.0549 | 0.3266 | -0.7689 | 0.6889 | 1.1940 | 1.0730 | 0.2694 | -0.5203 | -1.0440 | 0.1787 | -0.2431 | 0.3431 | -0.3679 | -0.1707 | -1.0960 | 0.7613 | 1.8580 | 2.6220 | 0.8863 | 0.3001 | 0.7732 | -0.1881 | -0.4381 | 0.9127 | 0.0879 | -0.1189 | 0.8208 | 1.6010 | -2.1420 | -5.7430 | 0.7207 | 0.0000 | 0.1685 | -0.0945 | 0.1226 | 0.2947 | -0.2385 | 0.3360 | 1.1120 | -0.4881 | 0.6867 | -0.0858 | 0.1227 | 0.2307 | 0.3166 | 1.3980 | 0.4177 | -0.0964 | 0.6046 | 2.5260 | -0.1379 | -0.2060 | 0.0627 | 0.5889 | -2.0050 | 0.2044 | 0.4755 | 0.3403 | 0.8790 | -0.6391 | -0.3178 | -3.7360 | 0.1265 | 0.0775 | 0.0491 | -1.1680 | -0.0705 | 0.0766 | -0.8104 | 0.8978 | 0.1777 | 1.1480 | -0.3743 | 0.8658 | -0.0496 | 0.3924 | -3.9720 | 0.1861 | -0.0580 | 1.3880 | 0.1304 | -0.1157 | 0.8607 | 0.7422 | 1.8470 | 0.4953 | 0.4663 | 0.1777 | -0.9287 | 0.0607 | -1.0210 | 0.1989 | -1.4800 | 0.6980 | 0.1953 | 0.0385 | -0.0186 | 0.0144 | 0.1896 | 1.4470 | 0.7838 | 0.9493 | 0.5701 | 0.8357 | 0.8411 | 0.1270 | 0.1620 | 0.7407 | -0.1244 | 0.4433 | 0.9726 | 0.5832 | -0.1097 | 0.6306 | -0.0499 | 0.3914 | -0.3555 | -0.1004 | 0.3809 | 0.5498 | 0.6711 | -0.4162 | 0.1251 | 0.1267 | 0.5785 | 0.9139 | 0.3304 | 0.3477 | 1.4080 | 0.2076 | -0.0984 | 0.2691 | 1.0540 | 0.4908 | -0.2448 | 1.2890 | 0.3897 | 0.9788 | 1.0860 | 0.6373 | 0.8353 | -0.3099 | 0.6204 | 1.0460 | 0.5983 | 0.2524 | 0.3938 | -0.0031 | 0.7459 | 0.5655 | 0.9529 | -0.2454 | 0.8231 | -0.2553 | -0.3234 | -0.3209 | 0.9830 | 0.7141 | 0.2842 | -0.1720 | 0.0173 | 0.6851 | 0.0005 | 0.4363 | 0.6554 | 1.2240 | -0.3632 | 0.7649 | 0.6299 | 0.5001 | 0.5753 | -0.5215 | 0.9599 | 1.1310 | 0.6852 | 0.8119 | 0.2183 | 1.0760 | 0.3189 | 0.6436 | 0.8135 | -0.3913 | 0.2916 | 1.0340 | -0.3059 | 0.5679 | -0.3740 | 0.5145 | 0.1660 | 0.6712 | 0.2404 | -0.0469 | -0.1427 | 0.0183 | 1.0090 | 0.6120 |
| 22132 | id_ed55cbe23 | trt_cp | 48 | D2 | 0.2585 | 0.7555 | -0.1093 | -0.8668 | -0.3000 | -3.4150 | -1.2360 | -0.1521 | 0.4374 | 0.0859 | 0.4024 | -0.0358 | 0.4228 | 0.1517 | 0.5498 | -0.6309 | 0.0423 | 0.6549 | -0.6684 | -0.8591 | -0.4563 | 0.1219 | 0.6293 | 0.5726 | 0.0124 | 0.0401 | 0.2420 | 0.4949 | 0.0640 | -0.4258 | 0.4573 | -0.4415 | 0.2127 | -0.4656 | -0.1479 | 1.0250 | 0.1411 | 0.7308 | -0.0852 | -0.2401 | -0.9634 | 0.0432 | 0.2925 | 0.4856 | 0.5362 | -1.8810 | 0.3664 | 0.3909 | 0.9402 | 0.7487 | -0.3881 | -0.2934 | -0.2580 | -0.0267 | 0.5339 | -0.0394 | 0.1146 | 0.3748 | 0.3119 | 0.6665 | -0.3329 | -0.2465 | 1.0740 | -0.5809 | -0.2034 | 0.2284 | 0.0638 | 0.0163 | 0.1397 | -0.4501 | -0.1949 | -0.2616 | -0.2361 | 0.6217 | -0.3899 | 0.2278 | -0.7900 | 0.7579 | -0.9938 | 1.3800 | 0.6099 | -0.4344 | 1.0730 | -1.0230 | 0.0418 | 0.0868 | 0.0756 | -0.1717 | -0.5990 | -0.2667 | -0.7780 | -0.7330 | 0.2248 | -0.9312 | 0.7588 | -1.0200 | 1.0690 | -0.0611 | 0.7982 | 0.6556 | -0.3036 | -0.0886 | 0.0148 | -0.8472 | 0.0857 | 0.3478 | 0.6121 | 0.5788 | 0.8076 | 0.5354 | 0.2479 | 0.0000 | 0.3760 | 0.1752 | 0.7325 | 0.6551 | -0.6711 | 1.0930 | 0.4490 | 0.4522 | -0.6832 | 0.9727 | -0.1024 | 0.0500 | -0.5407 | 0.3980 | -0.4163 | -0.3338 | 0.2370 | 2.2720 | -1.4020 | 0.5797 | -0.6455 | 0.0263 | -0.5971 | -0.4132 | -0.5292 | 0.2589 | 0.9895 | -1.1130 | 0.8159 | 0.8086 | -1.0870 | 0.7995 | 0.2950 | -0.6303 | 0.1637 | -0.7050 | -0.8077 | 0.2478 | 0.5148 | 0.6022 | -0.3356 | 0.0000 | 2.2600 | 0.2523 | 0.8760 | 0.5410 | -0.1515 | -0.9436 | 0.2859 | 2.0180 | 0.0693 | -0.4360 | -0.6725 | 0.2950 | -0.6411 | 0.3339 | -1.2620 | 0.3387 | -0.6884 | 0.2635 | -1.8020 | 0.2046 | -0.3636 | -0.3961 | 0.4536 | -0.6448 | -0.7485 | 0.6739 | -0.7333 | -0.5276 | -0.1022 | -0.2826 | 0.1787 | 0.2831 | 0.6583 | 0.5651 | -0.5131 | 1.1390 | -0.6086 | -0.0239 | -0.0083 | -0.4546 | 0.6206 | 0.5910 | -0.2151 | 0.2743 | 0.4111 | 1.2520 | 0.7115 | -0.4401 | -1.0080 | -0.4778 | -0.3474 | 0.4497 | -0.0844 | -0.9831 | -0.4937 | 0.4297 | -0.7901 | 0.4205 | 0.2042 | -0.2151 | 0.2482 | 0.5234 | -0.0591 | -0.3615 | 0.1167 | -0.6735 | 1.8670 | -1.0570 | 0.8821 | -0.4356 | -0.4204 | -0.5534 | -0.8821 | -0.1741 | 0.1603 | -0.1825 | 0.3444 | 0.8027 | 0.7553 | 1.0950 | 0.5915 | -0.1542 | -0.7348 | -0.9399 | 0.3710 | 0.2028 | -0.2192 | -1.2020 | 0.8068 | -0.4878 | -0.2455 | -0.0155 | -0.8660 | 1.1800 | 0.3646 | 0.0034 | 0.1132 | -0.7553 | -5.3700 | -0.6226 | -0.3553 | 0.3731 | 0.6994 | -0.6299 | -1.0430 | 0.3874 | -0.0948 | -0.3223 | 0.1949 | 0.7635 | -0.5483 | 0.0859 | 0.1947 | -0.2665 | -0.7382 | 0.6648 | 0.7964 | 0.2423 | -0.7582 | 0.8805 | -0.9761 | 0.3200 | 0.5743 | 0.1284 | -0.8812 | -0.8647 | -0.3060 | -0.3915 | -0.4272 | 0.1915 | 0.2144 | -1.4450 | 1.4200 | -0.4814 | -0.2096 | -0.9784 | -0.0135 | -0.0077 | -0.2140 | -0.1266 | 0.0076 | -0.7782 | 0.2122 | 0.6580 | -1.0440 | -1.3020 | 0.3339 | 0.0169 | 1.5240 | -0.1221 | -0.4329 | -0.7958 | -0.0037 | 0.0000 | -0.3257 | 0.6582 | -0.7441 | -0.3971 | 0.5478 | -0.0122 | -0.3485 | -0.8992 | 0.0357 | -0.7169 | 0.3069 | 0.3516 | -1.2170 | -0.8767 | 0.6026 | -0.5114 | 0.2630 | 0.3713 | 0.1427 | -0.0995 | 0.7796 | -0.0396 | -0.2313 | 0.9942 | 1.3830 | 0.0134 | -0.8873 | -1.1160 | -0.2697 | -0.6888 | 0.4901 | -0.8713 | -1.4200 | 0.2382 | -0.0604 | 1.2890 | -0.4723 | -0.2206 | -0.2513 | 0.5120 | -0.2192 | -0.1935 | 0.7454 | 0.2182 | 0.3303 | 1.4200 | -0.5278 | 0.2120 | 1.1220 | 0.4979 | -0.5965 | -0.7072 | 0.0000 | 0.7770 | 0.3131 | -0.9097 | -0.2374 | 0.5918 | -0.8645 | -1.0270 | 0.0558 | -0.8514 | -4.1060 | -0.1670 | -0.2964 | -0.7647 | -1.3840 | 0.3288 | 1.8990 | -0.6155 | 0.0303 | 1.1820 | -0.8397 | 0.3528 | -0.7332 | -0.1398 | 1.5350 | 0.1255 | 0.4976 | -0.2584 | -1.6470 | 0.3688 | 0.0395 | 1.5880 | -0.6069 | -0.0381 | -0.4890 | 0.8667 | -0.0722 | 0.5782 | -0.5289 | -0.5300 | 0.7948 | -0.0032 | 1.3890 | 0.0481 | -0.5063 | 0.0751 | -0.6765 | -0.6041 | -1.0960 | 0.2314 | -0.5681 | -0.5510 | 0.8730 | 1.2090 | -0.6599 | -0.0473 | -0.1993 | -0.0856 | -0.3871 | 1.9380 | -1.3640 | -0.1179 | 0.2007 | 0.2311 | 0.3266 | 0.8366 | 0.3772 | 0.1381 | -1.0850 | 0.1850 | 0.2187 | 0.8077 | 0.6426 | 1.0250 | -0.8547 | 1.0490 | 0.3372 | -0.4449 | 0.4069 | 0.4405 | 0.1495 | -0.6211 | -0.0926 | 0.3887 | -0.5829 | 0.2234 | 0.4895 | 0.9147 | 0.1747 | 0.2022 | 1.5400 | 1.1010 | 1.1470 | 0.1393 | -0.6369 | -0.4644 | 0.3763 | -0.4496 | -0.1462 | 0.1622 | -0.7715 | 0.2490 | 0.1726 | 0.6805 | 0.3083 | -0.2181 | -0.1990 | -2.1710 | 0.8879 | -0.3761 | -0.3086 | -0.2488 | -0.0362 | 0.5528 | -3.0580 | 0.4225 | -0.3213 | 0.4988 | 0.5773 | 0.3258 | -0.5311 | -0.5035 | 0.2205 | 0.0488 | -0.8068 | -0.0898 | -0.2314 | -0.3970 | 0.4198 | 0.0848 | 0.9851 | -0.7109 | -0.3549 | 0.2496 | -0.0743 | 0.0643 | 0.0000 | -0.5595 | -0.4818 | 0.4739 | -0.7345 | 1.3710 | -0.6181 | 0.8186 | 0.1090 | -0.3756 | -0.7728 | -1.0210 | 0.6111 | 0.4759 | -0.0862 | -0.2117 | 0.2625 | 0.2349 | 1.1460 | -0.1912 | 0.5670 | 0.3467 | 0.7070 | -0.7589 | 0.6233 | 0.6787 | -0.1529 | 0.0036 | -0.2251 | 1.0070 | 0.3051 | 0.4352 | -1.0340 | 1.1280 | -0.1387 | -0.6920 | -0.0614 | -1.0100 | 0.4272 | 0.7192 | -0.1956 | -0.6291 | -1.0720 | -0.3110 | 0.3025 | 0.3656 | 0.7580 | -1.7020 | 0.1075 | 0.7784 | 0.0297 | -0.4552 | 0.1246 | 0.7098 | -0.1093 | -0.7915 | -0.4950 | -1.1500 | -0.3659 | -1.8030 | -1.3760 | 0.1950 | 0.1612 | -0.9473 | 0.0607 | 0.5340 | 0.9504 | -0.3440 | -0.0452 | 0.6901 | -0.6388 | -1.7160 | -0.2793 | 0.1120 | -1.0640 | 0.5505 | 0.0084 | 1.1140 | 0.5001 | -0.3571 | 4.8680 | 0.0387 | -0.1652 | 0.9826 | -0.7373 | 0.6854 | -1.5550 | -0.9811 | 0.5727 | -1.0920 | 1.0880 | 0.3518 | -0.7130 | -0.3599 | 0.0045 | 0.7766 | 0.5204 | 0.6017 | -0.7846 | -0.7348 | -0.7035 | -0.5679 | 0.8118 | 0.7906 | -0.6206 | 1.0330 | -0.1025 | -0.8553 | 0.6000 | -0.1107 | 1.2910 | -1.1060 | 0.6600 | 0.0499 | 0.0384 | 0.2105 | -2.6580 | -1.1190 | 0.4782 | 0.0000 | 0.5543 | -0.1867 | 0.0000 | -0.7533 | -0.1708 | 1.0520 | 0.5713 | 0.3639 | -0.1564 | -0.2237 | 0.6563 | 0.6978 | -1.1630 | 0.9847 | 1.1770 | 0.2059 | 0.6561 | -1.1100 | 0.9577 | -0.7402 | 0.5668 | -0.1646 | -0.1971 | 0.5430 | -0.0838 | 0.8141 | -0.2086 | -0.5702 | 0.8300 | 0.1213 | -0.9823 | 0.4846 | -0.8438 | -2.7170 | 0.4643 | -0.4216 | -0.4873 | 0.3106 | 1.2620 | 0.1443 | 0.6475 | -0.7860 | 1.1540 | -0.7091 | -0.0532 | 1.0490 | -0.8812 | -0.1203 | -0.6154 | 0.3791 | -0.4260 | 1.1900 | 0.3423 | 0.2776 | 0.0856 | -0.3366 | 1.0610 | -0.1837 | 0.6845 | -0.1154 | -0.5802 | 0.1773 | 0.7461 | 0.7750 | -0.0772 | 0.2560 | 0.3512 | 0.2229 | -0.3598 | -0.3864 | -0.9980 | 0.2641 | -0.5620 | -0.2027 | -0.0857 | -0.0378 | 0.3320 | -1.0120 | 0.6467 | 0.5676 | -0.0162 | 0.2511 | 0.1317 | -0.1299 | 0.7671 | -0.1206 | -0.4685 | 2.6110 | 0.0142 | -0.4917 | -0.6556 | 0.6252 | 0.6725 | 0.0789 | -0.3372 | 0.7544 | 0.4120 | 0.3569 | 2.6050 | -0.2693 | 0.3297 | 1.0720 | -0.2280 | -0.0969 | -0.6763 | 0.0683 | 0.0614 | -0.0215 | 0.1453 | -0.7244 | -0.1352 | -0.5394 | 0.1322 | 1.6100 | -0.7458 | -0.7564 | -0.0652 | -0.0343 | 0.7695 | -0.5814 | -0.9151 | -0.6114 | 0.3211 | 0.8205 | -0.5881 | -0.4215 | 0.9122 | 0.9490 | -0.7509 | -2.6020 | -0.5051 | -0.4627 | -0.2087 | 0.4971 | 0.2445 | 0.1991 | 0.5453 | 0.5710 | -1.0210 | 1.7320 | 0.8589 | 0.2774 | -0.6752 | -0.4742 | -0.2575 | 0.1521 | -0.7664 | 0.8195 | -0.6218 | 0.2716 | 0.6445 | -0.1963 | -0.0558 | 1.1570 | -0.8047 | -0.0801 | -0.0247 | 1.1720 | 0.0718 | -0.4977 | -0.0301 | -0.2188 | -0.2424 | 0.4021 | 0.1018 | 0.5486 | 0.2255 | 0.1477 | 0.7155 | -0.0393 | 0.2462 | 0.4957 | -0.4297 | 0.2417 | 0.5472 | -1.8610 | 0.0002 | 1.1180 | 0.5149 | 0.1358 | 0.0761 | 0.4792 | -0.0546 | 0.6184 | -0.4246 | -0.3559 | 0.1227 | 0.5769 | 0.8214 | 0.4973 | 0.6206 | 0.2147 | 0.2423 | 1.1830 | 0.9780 | -0.0733 | -0.9028 | -0.5537 | 0.7440 | 0.1506 | 0.4542 | 0.1341 | -0.4105 | 0.4757 | -0.0707 | -0.6718 | 0.0699 | 0.9190 | 0.4874 | 0.2594 | 0.3686 | 1.0850 | -0.7241 | 0.2870 | -0.0111 | 0.7355 | 0.3963 | -0.0355 | 0.3651 | 0.5687 | -0.1913 | 0.3042 | 0.1856 | 0.8670 | -0.9542 | -0.2257 | -0.4909 | 0.1207 | 0.0226 | 0.4621 | 0.1636 | 0.3442 | 0.6127 | 0.7531 | 0.5940 | 0.3929 | 0.4998 | -0.3026 | -0.3105 | 0.8913 | 0.5339 | 0.1938 | 0.0717 | 1.2190 | -0.2385 | 0.6439 | -0.0766 | -0.1473 | -0.7318 | 0.0123 | -0.2603 | -0.1796 | 0.1324 | 0.1422 | -0.4700 | 1.1780 |
| 21477 | id_e638db82b | trt_cp | 72 | D2 | 0.2426 | -0.8164 | 0.3878 | -0.4919 | -0.1288 | -0.4755 | 0.3727 | 0.6090 | 0.4283 | 0.6229 | 0.1592 | -0.5908 | 5.0000 | -0.1125 | -0.7181 | -0.2614 | 0.4417 | -0.1587 | -0.6170 | 0.1724 | -1.0490 | 0.9107 | -0.6431 | 0.3617 | -0.1989 | -0.7050 | 0.0379 | -0.7734 | -0.6653 | -0.0925 | -0.3270 | 0.0205 | 0.5614 | 1.0160 | -0.4401 | 0.3105 | -0.1793 | 0.5997 | -0.3793 | 1.3600 | -0.0233 | -0.0080 | 0.7427 | -0.4656 | 0.4353 | -0.0069 | -0.6154 | -0.0135 | -0.2131 | -0.3449 | -0.3501 | 0.0285 | -0.1162 | -0.4692 | 0.6285 | 1.2340 | -0.2438 | -0.2632 | 0.2705 | 0.6387 | 0.3673 | -0.1080 | -0.5902 | 0.5562 | 0.0029 | 0.1256 | 0.4397 | -0.6856 | 0.4413 | 0.1926 | 1.3020 | 0.3846 | 0.4090 | 0.1868 | -0.5255 | 0.4789 | -1.0440 | 0.0630 | -0.6475 | 0.3960 | 0.5877 | 0.3240 | -0.9151 | -0.5599 | -0.8554 | 0.0270 | 0.2813 | 0.2161 | -0.0689 | 0.1085 | -0.2200 | -1.2480 | 0.5383 | -0.2997 | -0.4748 | -0.0311 | -0.2519 | -0.3025 | -0.6406 | -0.5814 | 0.7795 | -0.5614 | 0.5504 | -0.7344 | 1.2880 | -0.2677 | -1.3840 | 0.2142 | -0.4943 | -0.0621 | 0.2406 | 0.1950 | -0.6567 | -3.9280 | 0.1591 | -0.5827 | -0.6938 | 0.5936 | 0.1628 | 0.1027 | -0.3885 | 0.0641 | 0.7621 | -0.9484 | -0.0624 | 0.2890 | -1.0220 | -0.4339 | 0.2118 | -0.1997 | -0.2837 | -0.4878 | 0.4922 | 0.2140 | -0.3755 | -0.8314 | 0.3264 | -0.6967 | 0.5691 | -0.8353 | 0.3729 | -0.2677 | -0.3315 | -0.6219 | -0.5157 | 0.8237 | -0.5071 | 0.9599 | 0.9582 | -0.4083 | -0.1211 | -0.8195 | 0.0107 | 0.0000 | -1.0860 | 0.7336 | -0.3431 | 0.2216 | 0.5714 | 0.1719 | -0.4374 | -0.1634 | 0.7706 | -0.9324 | -0.6141 | 0.0707 | -0.3226 | -0.4599 | 0.5165 | 1.7470 | -0.7321 | -0.0738 | 0.3432 | 0.2786 | -0.8133 | 4.4180 | 2.1500 | -0.8821 | 1.3600 | -0.7717 | -0.1346 | -0.7930 | 0.2017 | -0.9960 | -0.1622 | 0.1379 | -0.2050 | 0.5996 | 0.2490 | -0.4412 | -1.8850 | 1.3570 | -0.3299 | 0.0872 | -0.5393 | 0.0602 | 0.9467 | -0.3925 | 0.0015 | 0.0987 | -0.6635 | 0.6448 | 2.2300 | 1.4480 | 0.7329 | -0.3210 | -0.1833 | -0.8034 | -1.1110 | -0.9646 | 0.1093 | 0.0835 | -0.2667 | -0.3372 | 1.4420 | 0.2850 | 0.4715 | 0.1586 | -0.0765 | 0.0000 | -0.5684 | -0.1826 | -1.0810 | -0.4629 | -0.7750 | -1.0020 | -0.2068 | -0.4604 | -0.3022 | -0.3257 | -0.7074 | -0.3699 | 0.6120 | -0.4590 | -0.1736 | -0.0759 | -0.4266 | -0.9507 | 1.2360 | -0.4617 | -0.3925 | 0.0410 | 0.6838 | 0.3094 | -0.3147 | 0.5134 | -0.3003 | -0.5509 | 0.6237 | -0.3098 | -0.3850 | 0.9561 | -1.9470 | 0.2292 | 0.6271 | -1.1780 | -0.5484 | -0.0373 | -1.2500 | -0.3461 | 0.6915 | -0.9130 | -0.7879 | -0.2952 | 0.1582 | 1.3290 | 0.0838 | -0.1895 | 1.6220 | -1.0480 | 0.0100 | 0.9135 | 0.6680 | 0.4119 | -0.3390 | 0.5689 | 0.8818 | 0.2219 | -0.4196 | -0.2536 | -0.2262 | 0.1516 | -0.6580 | -0.4072 | -1.1960 | -0.2496 | 0.4798 | -0.9085 | -0.4834 | -1.9190 | 0.2908 | -0.9900 | 0.8018 | -0.0268 | 0.0732 | 1.6630 | -0.3100 | -0.5689 | 0.2960 | 0.9963 | -1.2910 | 0.8738 | -2.1730 | 0.0576 | -0.3304 | -1.0440 | -0.4628 | -0.4118 | -0.3766 | 0.1405 | 0.0981 | -1.4860 | 0.0805 | 0.8227 | 0.0137 | -0.5153 | -0.6226 | -0.6352 | -0.6411 | -0.4907 | -0.4833 | 0.3002 | -0.2108 | -0.4610 | -0.4167 | -2.3070 | -0.0511 | 0.3338 | 0.3586 | 0.1407 | -0.1722 | -0.4532 | 0.2221 | -0.2415 | -0.2176 | -0.2069 | 0.8904 | -0.2496 | -1.0000 | 0.8962 | 0.3484 | -0.6155 | 0.5793 | 0.8215 | -0.6108 | 0.1653 | 0.2964 | -0.6847 | -1.6590 | 0.0892 | 1.3190 | -0.1726 | 0.1014 | 1.1800 | -1.2710 | -0.4729 | -0.6898 | 0.4183 | 0.1777 | -0.7332 | -0.1139 | -0.0809 | -0.1374 | -0.7649 | -0.4607 | 0.7499 | -0.3372 | -0.3553 | -0.0549 | -1.0730 | 0.4178 | -0.2446 | 0.3523 | 0.6802 | -0.0640 | 2.2720 | 0.8188 | 0.8748 | -0.6927 | -0.4638 | -0.3272 | 0.3321 | 0.5197 | 0.1364 | -0.7652 | 1.3950 | 0.2242 | 0.3577 | -0.9436 | 0.1320 | 1.4230 | 0.7383 | 0.1922 | 0.1771 | -1.1560 | 0.2670 | -0.9581 | 0.4511 | -0.5724 | 0.9940 | -0.1156 | 0.0990 | 0.1650 | -0.2764 | -0.1420 | 0.7251 | -0.7817 | -0.7419 | -0.5961 | -0.6321 | -0.0157 | 0.8113 | 0.8188 | 0.6722 | 0.9958 | -0.2806 | 1.6520 | 0.3149 | 0.1887 | 0.4130 | -0.5939 | 0.2195 | 0.2129 | -0.9757 | 0.8807 | 1.5360 | -0.7659 | 0.4901 | 0.6438 | -0.6020 | 0.0798 | -0.2449 | -0.2792 | 0.5039 | -1.0790 | -0.3005 | -0.3152 | 0.4927 | 0.5256 | -0.2226 | 0.5677 | 1.5670 | -0.4332 | 0.8630 | 0.4840 | -0.6011 | 1.3320 | -1.1120 | -1.0750 | 0.8727 | 0.0124 | -0.0956 | -0.7528 | -0.0955 | -0.5782 | 0.1314 | 0.5646 | -0.6788 | -0.1372 | -1.4570 | 0.0362 | 0.3726 | -0.5484 | 0.0196 | 0.1069 | -1.3710 | -0.4304 | 0.5822 | -0.4067 | 0.8282 | -0.1796 | -0.6451 | -0.1312 | -0.2887 | -0.8094 | 1.0860 | -0.0450 | -0.1285 | 0.2203 | -0.3261 | 0.4428 | 0.4497 | -0.5824 | 0.3396 | 0.2768 | 0.7134 | -1.6070 | 0.3578 | -0.2833 | 0.0816 | 1.0790 | -0.0459 | -0.0815 | 0.1905 | 0.2888 | -0.3298 | -0.5110 | 0.4123 | -1.1870 | -0.1093 | 0.4597 | -0.0548 | 0.5227 | -0.4031 | 0.2263 | 3.2480 | -0.7241 | 0.5787 | -2.2230 | -0.3425 | -0.2325 | -0.0082 | -0.3072 | -0.5732 | 1.2760 | -0.2686 | -0.4839 | 0.0006 | -0.3740 | 0.0033 | -1.4030 | 0.7295 | -1.2860 | 0.1242 | 0.0216 | 0.1803 | -0.1299 | -0.5522 | 0.5867 | -0.0428 | -0.9754 | -0.0631 | 0.4558 | 2.4830 | 0.2718 | -0.3944 | -0.2928 | -1.3380 | -0.7901 | -0.6095 | 0.9096 | -0.0857 | 0.6258 | 0.3913 | 1.4710 | -1.2030 | -0.1262 | 0.2090 | -0.4171 | 0.9150 | -0.7423 | -0.5347 | -0.2630 | -0.8359 | -0.0930 | -0.0939 | -0.5056 | -0.7473 | 0.1806 | -0.6762 | 0.0464 | -0.7272 | -0.7530 | -0.1486 | 0.2106 | -0.5343 | 0.1989 | 0.1892 | -0.7582 | -0.8360 | -0.6204 | -0.0450 | 1.0240 | -0.7451 | 0.1286 | 0.0544 | 0.7950 | -1.1830 | -0.1072 | 0.3741 | -0.2163 | 0.7104 | -0.5809 | 0.5095 | -0.3438 | 0.3044 | -0.3247 | -0.0209 | -0.2742 | -0.2352 | -0.7096 | -2.3830 | 0.8789 | 0.1991 | -0.2715 | 0.0702 | -0.9578 | 0.6553 | 0.6960 | -0.6396 | -0.3494 | 0.7233 | 1.3030 | -0.5445 | -0.2190 | -0.3416 | -1.3500 | 0.9286 | -1.0900 | -0.0027 | -2.0470 | -0.6023 | -1.1570 | -0.2486 | 0.7414 | -0.0202 | 0.5585 | -0.6205 | 0.1705 | -1.1810 | 1.6960 | -0.1208 | 0.8922 | -1.3250 | 0.5402 | -0.7037 | -0.6614 | 1.1900 | 4.1570 | 0.1495 | -0.2657 | 0.5010 | -0.2998 | -0.2101 | 0.0520 | -0.9941 | -0.0132 | 0.2502 | -0.3853 | 1.0480 | -0.0628 | 0.4199 | -0.3462 | 0.6263 | -0.1524 | -0.9747 | -0.2993 | -0.4843 | -0.3557 | -2.4480 | -0.6271 | 0.7930 | -0.9372 | -0.7865 | 1.0340 | -0.3454 | -0.3330 | -0.7318 | -0.0226 | -0.9206 | 0.1277 | 0.0017 | -0.5157 | -0.1374 | -0.2753 | -0.2147 | 0.0387 | -0.2975 | -0.2145 | -0.4716 | -0.6465 | -0.1302 | -0.7234 | -0.5037 | 0.5556 | -0.5055 | 0.4050 | -0.5275 | 1.1670 | -0.1119 | -0.2468 | -0.0143 | -0.2542 | 0.7750 | -0.4135 | -0.1686 | -1.0440 | -0.1072 | -0.1693 | 0.9352 | -0.4592 | 0.5196 | 0.0223 | -1.8330 | 0.2903 | 0.1672 | 0.3680 | -0.0681 | -0.8882 | -0.3871 | -0.2479 | -0.4076 | -0.4931 | 0.2531 | 0.2161 | -0.3620 | -1.1230 | 0.0000 | 0.8166 | -0.7129 | 0.6825 | 0.4230 | -0.5944 | 1.6510 | -0.1400 | 0.8262 | -0.0391 | -0.5447 | 0.1551 | 1.7220 | 1.1590 | -0.0453 | 0.1653 | -0.4581 | 0.0572 | 1.0410 | -0.4674 | 0.6718 | -0.0907 | -0.4441 | -0.2256 | -0.0413 | -0.0148 | 0.4132 | -0.5645 | 0.0893 | 0.1843 | -0.3661 | -0.3551 | -0.4075 | 0.7038 | -0.0502 | -0.9670 | -1.4690 | -0.5755 | 0.3925 | -0.0982 | 0.6777 | -1.2270 | -0.1707 | -0.6086 | -1.0910 | -0.8893 | -0.4640 | -0.4597 | 2.3770 | -0.1100 | -0.0678 | -0.2149 | -1.7370 | 0.1042 | 1.2540 | -0.0497 | 0.1814 | 0.7928 | 1.2100 | 0.9613 | 0.0362 | -0.7406 | 0.4566 | 0.1702 | -0.6848 | 0.1555 | 0.4769 | 0.0922 | 0.4536 | 0.4191 | 0.4998 | -0.2158 | -0.9678 | -0.6634 | 0.2492 | 0.1460 | 0.2662 | 0.1015 | -0.0548 | 1.0880 | -0.2598 | 0.0985 | -0.1236 | 0.1460 | 0.9637 | 0.2797 | -1.3090 | 0.4312 | -0.4455 | 0.0591 | -0.7249 | 0.6380 | -0.6800 | -0.1955 | -0.4327 | -0.3581 | 0.4872 | 0.3833 | 0.0668 | 0.2238 | -0.4716 | 0.3078 | -0.2729 | 0.0247 | -0.6818 | 0.6607 | -0.0751 | 0.4145 | 0.5914 | -0.2304 | 0.4900 | 1.5580 | -0.7633 | 0.6089 | 0.0875 | 0.5134 | 0.3458 | 0.6991 | 0.4362 | 0.0747 | -0.1342 | -0.7805 | 0.0236 | 0.4344 | -0.5074 | -0.1638 | -0.0441 | 0.0254 | 0.1320 | -0.5309 | -0.1943 | 0.5281 | -0.4945 | -0.3776 | -0.4156 | 1.1000 | -0.4360 | 0.8477 | 0.2282 | 1.4180 | 0.2782 | -0.6536 | 0.0141 | 0.6710 | 0.9032 | -0.5718 | 0.6070 | -0.1024 | 0.1312 | -0.4016 | 0.1634 | 0.1409 | -0.6366 | -0.1602 | -0.5592 | 0.6380 | -0.0560 | -0.2072 | 0.4151 | 0.5736 | -0.6160 | 0.2630 | -0.1393 | -0.1215 | 1.1610 |
| 3547 | id_262b1d2f0 | trt_cp | 72 | D1 | -0.5750 | -0.5393 | -0.8351 | 0.3157 | 0.0205 | 0.6412 | 0.4954 | -0.3068 | 0.1663 | -0.3899 | 0.2347 | -1.1370 | 0.0000 | 0.1373 | 0.7267 | 1.2280 | 0.2023 | 0.1700 | -0.0405 | -0.7116 | 0.9582 | 2.2800 | -1.0950 | 0.0000 | 0.4214 | 1.5560 | 0.2377 | 1.4720 | 0.3851 | -0.2684 | 0.9558 | 0.5146 | 0.4238 | -0.6745 | -0.1337 | 0.8310 | -0.2539 | -0.0954 | -1.1670 | -0.7878 | 0.5569 | -0.9799 | 0.4996 | 0.4210 | -1.9480 | 0.9278 | 0.0000 | -0.3204 | 1.1440 | -0.1690 | 0.6613 | -0.7244 | -0.9982 | -0.3036 | -0.1473 | -0.3834 | 0.4224 | -0.2542 | -1.7530 | 1.4640 | -0.7560 | 2.4430 | -0.3658 | 0.2536 | 1.4960 | 0.5161 | -0.4900 | 1.0520 | -0.5728 | -0.2900 | 0.3638 | 0.5389 | 0.2407 | -0.1049 | -0.2244 | -1.0450 | 0.7717 | 0.1019 | 1.4180 | -0.7426 | 0.9681 | -1.3220 | -0.7432 | -0.7067 | 0.1917 | -1.4010 | -0.0452 | -1.0390 | 0.0735 | 0.4521 | -0.4105 | 0.0000 | 0.4771 | 0.2871 | 0.4715 | -0.4286 | -0.2332 | 0.6711 | -1.1500 | -0.3611 | 0.2504 | -0.6188 | -0.0271 | -0.8354 | 0.3116 | 0.0853 | -0.6745 | 1.2850 | 0.8672 | 0.5598 | -0.1484 | -0.1799 | -0.5721 | 0.2843 | -0.8424 | -0.0381 | -1.7710 | -1.0430 | -0.8522 | 1.1930 | -0.0242 | 0.0862 | 0.1464 | -1.3650 | -0.9842 | 0.2682 | 0.2113 | -0.3575 | -1.1490 | -0.0998 | 0.4162 | -0.0354 | 0.0000 | -0.6393 | -1.4330 | 0.1423 | 0.5694 | 5.8540 | 0.0000 | 0.4570 | 0.0854 | -1.2680 | 0.0544 | -0.4369 | -0.1122 | -1.3240 | -1.1620 | -0.2496 | 0.3437 | -0.0532 | 0.5759 | 0.4870 | 0.9201 | -0.5713 | -0.4504 | -0.3484 | 0.5076 | -1.1070 | -1.0350 | 0.4164 | 1.8000 | -0.3609 | -1.1800 | -0.1926 | -1.0240 | -0.0341 | 0.5215 | -0.5585 | -0.1415 | 0.3485 | 1.0050 | 0.8794 | 0.4970 | -1.0600 | -1.3900 | 0.6239 | -0.4223 | 0.0000 | -0.3734 | 0.3057 | -1.6860 | 0.4960 | -0.7091 | 0.3513 | -0.6116 | 0.3972 | -0.2854 | 0.9320 | -0.2406 | -0.3504 | -1.1600 | 0.8366 | -0.4715 | -1.0660 | -0.7494 | -0.0611 | 0.8380 | 0.4931 | 0.2289 | -0.1935 | -0.2691 | -0.6226 | -0.3243 | -1.1700 | 0.6537 | -0.2150 | 0.0000 | -0.5376 | 0.2129 | 0.4552 | -1.0330 | 1.1050 | 0.1504 | -0.3116 | 0.3711 | 1.2120 | 0.1464 | 1.0240 | 0.3580 | 0.0000 | -0.4753 | 0.3080 | 0.3654 | -0.8778 | 0.1670 | -0.6507 | -0.2597 | 0.4424 | 0.5787 | -0.2198 | 0.2312 | 0.1171 | -0.3415 | 0.3938 | -0.1410 | -0.3134 | 0.0000 | 0.6887 | 0.0000 | 1.1470 | -1.4090 | 0.0000 | -0.5128 | -0.9942 | -0.2489 | -0.2661 | 0.4347 | -0.3950 | 0.6250 | -0.5697 | 0.9948 | -0.6338 | -0.2043 | -0.2759 | 0.7060 | 0.0684 | 0.9857 | 1.3850 | -0.0550 | -0.8141 | 0.5562 | -0.9571 | 0.7685 | -0.0961 | 0.0767 | 0.9198 | 0.9523 | 0.0765 | 0.1550 | -0.7641 | 0.5908 | -0.9928 | 0.6745 | -2.0800 | 0.6745 | 0.2779 | -2.4610 | 0.3659 | 0.0000 | -0.6750 | -0.2762 | -0.4996 | 0.7881 | 0.0731 | -2.0710 | 0.4306 | 0.7066 | 0.3288 | 0.6131 | -0.3831 | 0.1555 | 0.4478 | 0.4883 | -0.1582 | -0.7966 | -0.4309 | -0.5895 | 0.0000 | 0.3758 | 0.6314 | -0.1818 | 1.2090 | -0.7695 | -0.6852 | 1.9810 | 0.1229 | 0.1723 | 0.0000 | 0.1205 | 1.0740 | 0.4789 | 0.4163 | 0.2798 | -0.3454 | 1.2510 | 1.1890 | 0.8237 | -0.3872 | 0.6121 | -0.7090 | 0.4585 | -0.8466 | -0.4485 | 0.0242 | -0.1686 | 0.5054 | 0.2516 | 0.1015 | -2.1640 | -1.1380 | 0.6698 | -0.3433 | 0.1268 | 0.0000 | -0.2233 | -0.7999 | 0.1987 | -0.6623 | -0.7389 | 1.4230 | -1.5000 | 0.1941 | 10.0000 | -1.3210 | 1.7270 | 0.2604 | -0.8057 | 0.9126 | -0.2077 | -1.1760 | -1.3080 | 1.6870 | 1.3280 | -0.8066 | 0.1693 | -0.5788 | 0.0000 | 0.9157 | 0.1674 | -1.3350 | 3.0080 | 0.2283 | -1.7670 | 0.5592 | -0.3301 | -0.6745 | 0.2432 | -1.4530 | -0.8411 | -0.8837 | 0.0000 | 0.0000 | -0.7197 | 0.0871 | 0.5694 | 0.1281 | -1.7140 | 0.0000 | -1.6110 | 0.0000 | -0.5061 | 1.3660 | 0.4968 | -0.0276 | 1.0760 | 0.2840 | 0.0989 | 0.0000 | -0.3501 | -0.4707 | 0.2965 | 0.0936 | 0.0000 | -0.2678 | 0.8484 | 1.5740 | 1.0200 | 1.1890 | -1.4410 | 0.4281 | 0.5458 | 0.6402 | 0.1584 | -0.2520 | 0.4575 | -1.5770 | -0.6927 | -0.0857 | 0.2540 | -0.3777 | 0.2176 | -1.1360 | 0.1194 | 1.4840 | 0.2360 | 0.2741 | 0.4136 | -1.8640 | -1.7320 | 0.0327 | 0.7935 | 0.5305 | -0.0423 | -1.4870 | 0.0000 | -1.6990 | -0.4811 | 0.5021 | -0.6402 | -0.0620 | -0.6479 | -0.7094 | -1.0400 | 2.0850 | 1.0910 | 1.2860 | -0.4954 | -0.3025 | -0.4845 | 1.1590 | 0.8587 | -0.6348 | 0.0000 | -1.7580 | 0.7839 | -0.5493 | 0.3681 | -1.4080 | -0.3596 | 0.2145 | -0.1852 | -1.0510 | 2.0120 | -0.4853 | 0.7383 | 0.4794 | -1.1600 | 0.7325 | 0.5105 | -0.2954 | -0.9173 | -1.9510 | 0.9393 | -0.0698 | -0.7309 | 1.7750 | -0.0843 | 1.3130 | -0.2181 | 0.5792 | -0.9750 | -0.2573 | -0.0489 | 0.4204 | 0.0728 | -1.3780 | -1.1230 | 0.7994 | -1.0730 | 1.2090 | -0.4719 | 0.0000 | -0.2757 | -0.0548 | -1.2130 | 0.8301 | 0.2305 | -0.2846 | -2.5090 | -0.0989 | -0.4009 | -0.3419 | 0.6265 | -0.6745 | -0.4411 | 0.1614 | 0.2975 | 1.1340 | 0.1735 | 0.2869 | -1.9200 | -0.9996 | 0.0544 | 0.3873 | 0.2692 | -0.6745 | -1.3140 | 0.7513 | 0.7542 | 0.0719 | 0.6745 | -0.4138 | -1.8790 | -0.8274 | -0.3218 | -0.8446 | -0.4915 | -0.1514 | -0.3212 | -0.8683 | 2.4230 | -0.8903 | 0.9540 | 0.3558 | 0.0829 | 0.5515 | -2.7590 | -0.3300 | -1.2160 | -1.0480 | -1.1170 | 0.2523 | 1.0600 | -0.6791 | 0.1707 | -1.0810 | 0.2543 | 0.2727 | -0.6286 | -0.7104 | -0.3106 | -0.5922 | 0.4430 | -1.4730 | -0.0450 | 0.8962 | 0.5842 | -0.4688 | -0.7898 | 0.5725 | 0.1153 | -0.7492 | 0.5007 | 0.7377 | 0.4225 | 0.6745 | -1.1130 | 0.2327 | -0.6036 | 0.4293 | 1.2160 | 0.5666 | -1.6630 | -0.7264 | -0.9707 | 0.5048 | 1.1690 | -0.1540 | 0.1482 | -0.2705 | 1.1000 | 0.8036 | 0.7090 | -0.0567 | 1.2230 | -0.3219 | 0.4809 | -0.3845 | -0.6242 | 1.4950 | -0.3332 | -0.8001 | -1.4110 | 0.6259 | 1.3810 | 0.3933 | 0.6357 | -0.8624 | -0.2120 | -0.5796 | -0.0600 | -0.3347 | 3.8280 | 0.8031 | -1.2200 | -0.3710 | -1.3620 | -1.4220 | -0.0823 | -0.8950 | -0.5693 | 1.2280 | -1.2880 | -1.4450 | -0.5294 | -0.7102 | -0.7697 | -2.4890 | -1.3650 | -1.0220 | -1.8780 | -0.3797 | -0.4456 | -0.2901 | -1.5380 | 1.0470 | 1.2900 | -0.1533 | -0.1801 | -0.2475 | -1.2560 | 0.1392 | -2.3180 | -0.8532 | -0.2494 | -0.2242 | 0.6745 | -1.3270 | -0.9370 | -1.0290 | -0.1039 | 0.2394 | 1.0000 | -0.5936 | -0.6745 | -1.4570 | 0.6745 | 0.7189 | -1.5050 | -0.2695 | 0.9287 | 0.4924 | -2.2830 | 0.7376 | -0.1675 | -0.3840 | 0.7849 | -0.7628 | -2.2920 | 0.9141 | -0.4311 | 1.2810 | 0.7406 | 1.0210 | -0.5520 | -1.0660 | 0.1150 | 0.4609 | -0.1764 | 0.0509 | 1.1210 | -0.6292 | 1.1600 | -1.2360 | 0.8426 | -0.8662 | 1.4950 | 0.0000 | 0.7542 | -0.2330 | 0.6429 | -0.7555 | 0.1977 | -1.0310 | -0.3850 | -0.2659 | -0.1929 | 1.2910 | -0.1438 | -1.0480 | 1.0770 | 0.2992 | -0.5158 | 0.4678 | -1.7480 | -0.3119 | -1.0130 | 0.6745 | -0.1949 | 0.1320 | -1.0280 | -1.4640 | 1.2710 | 0.8070 | -0.3139 | -0.4508 | -0.8006 | -0.1207 | -0.0995 | 0.7680 | 1.1840 | 0.8600 | -0.7310 | -0.1973 | 0.4661 | 0.5355 | -0.5963 | 0.0000 | -1.0050 | -1.0710 | 0.0911 | -0.9093 | 1.0540 | -0.6832 | -0.3412 | -5.2580 | -0.6156 | 0.8792 | 0.0000 | 1.2760 | -0.3917 | -0.8519 | -0.3777 | -0.8659 | 0.4984 | 0.0769 | 0.6745 | 0.3255 | -2.6300 | 0.0591 | 0.2359 | 0.7550 | -0.6506 | 0.0000 | 0.8316 | 0.1291 | -0.1542 | -0.6168 | -0.4065 | 0.3583 | 0.2388 | -0.4634 | 0.5364 | -0.1044 | 1.3940 | -0.1712 | 1.3530 | -1.0120 | 0.3624 | 1.4130 | 0.1551 | -0.5872 | -0.7192 | 10.0000 | -0.1760 | -0.9165 | 0.0830 | 0.7107 | -1.3890 | -0.0818 | 0.2322 | 0.6207 | -0.6745 | -0.6756 | -0.8390 | -0.2425 | -0.1187 | -0.4535 | -0.0614 | 0.3033 | -0.6781 | -0.5560 | 1.2200 | -0.2192 | -0.1514 | 0.6124 | 0.4108 | 0.7138 | 0.2006 | -0.4904 | 0.4125 | -0.0468 | 0.4078 | -0.6591 | -0.1798 | -0.2661 | 0.1692 | -0.8042 | -0.6479 | -0.5064 | -0.2624 | -0.4214 | -0.7602 | 0.1776 | 0.0126 | 0.7492 | 0.0815 | 0.5122 | -0.0345 | -0.1702 | -0.2538 | 0.1175 | 0.7298 | -0.0085 | -0.0995 | -0.3705 | -0.5755 | -0.3649 | -0.5034 | 0.7978 | -0.4060 | 0.8173 | -0.7958 | -0.2021 | 0.6548 | -0.3159 | 0.4589 | 0.7756 | -0.0540 | 0.1093 | 0.0639 | 0.2545 | 0.3795 | -0.1146 | 0.4846 | -0.2705 | 0.4439 | -0.5269 | -0.7589 | 0.3757 | 0.2137 | -0.3353 | 0.7949 | -0.0744 | 0.2498 | 0.4709 | -0.7295 | 0.3248 | 0.9315 | -0.3754 | 0.4629 | -0.2490 | -0.1124 | -1.0370 | -0.4016 | -0.2194 | 0.9992 | -0.5649 | -0.4206 | 0.6646 | 0.1466 | 0.7451 | 0.1357 | 0.0177 | 0.3563 | -0.5098 | -0.9224 | 0.4322 | 0.4109 | -0.1896 | -1.0250 | 0.0972 | 0.7310 | 0.7389 | -0.0988 | -0.7663 | -0.0930 | 0.3485 | 0.1791 | 0.3335 | 0.6364 | -0.3984 |
test_features.head()
| sig_id | cp_type | cp_time | cp_dose | g-0 | g-1 | g-2 | g-3 | g-4 | g-5 | g-6 | g-7 | g-8 | g-9 | g-10 | g-11 | g-12 | g-13 | g-14 | g-15 | g-16 | g-17 | g-18 | g-19 | g-20 | g-21 | g-22 | g-23 | g-24 | g-25 | g-26 | g-27 | g-28 | g-29 | g-30 | g-31 | g-32 | g-33 | g-34 | g-35 | g-36 | g-37 | g-38 | g-39 | g-40 | g-41 | g-42 | g-43 | g-44 | g-45 | g-46 | g-47 | g-48 | g-49 | g-50 | g-51 | g-52 | g-53 | g-54 | g-55 | g-56 | g-57 | g-58 | g-59 | g-60 | g-61 | g-62 | g-63 | g-64 | g-65 | g-66 | g-67 | g-68 | g-69 | g-70 | g-71 | g-72 | g-73 | g-74 | g-75 | g-76 | g-77 | g-78 | g-79 | g-80 | g-81 | g-82 | g-83 | g-84 | g-85 | g-86 | g-87 | g-88 | g-89 | g-90 | g-91 | g-92 | g-93 | g-94 | g-95 | g-96 | g-97 | g-98 | g-99 | g-100 | g-101 | g-102 | g-103 | g-104 | g-105 | g-106 | g-107 | g-108 | g-109 | g-110 | g-111 | g-112 | g-113 | g-114 | g-115 | g-116 | g-117 | g-118 | g-119 | g-120 | g-121 | g-122 | g-123 | g-124 | g-125 | g-126 | g-127 | g-128 | g-129 | g-130 | g-131 | g-132 | g-133 | g-134 | g-135 | g-136 | g-137 | g-138 | g-139 | g-140 | g-141 | g-142 | g-143 | g-144 | g-145 | g-146 | g-147 | g-148 | g-149 | g-150 | g-151 | g-152 | g-153 | g-154 | g-155 | g-156 | g-157 | g-158 | g-159 | g-160 | g-161 | g-162 | g-163 | g-164 | g-165 | g-166 | g-167 | g-168 | g-169 | g-170 | g-171 | g-172 | g-173 | g-174 | g-175 | g-176 | g-177 | g-178 | g-179 | g-180 | g-181 | g-182 | g-183 | g-184 | g-185 | g-186 | g-187 | g-188 | g-189 | g-190 | g-191 | g-192 | g-193 | g-194 | g-195 | g-196 | g-197 | g-198 | g-199 | g-200 | g-201 | g-202 | g-203 | g-204 | g-205 | g-206 | g-207 | g-208 | g-209 | g-210 | g-211 | g-212 | g-213 | g-214 | g-215 | g-216 | g-217 | g-218 | g-219 | g-220 | g-221 | g-222 | g-223 | g-224 | g-225 | g-226 | g-227 | g-228 | g-229 | g-230 | g-231 | g-232 | g-233 | g-234 | g-235 | g-236 | g-237 | g-238 | g-239 | g-240 | g-241 | g-242 | g-243 | g-244 | g-245 | g-246 | g-247 | g-248 | g-249 | g-250 | g-251 | g-252 | g-253 | g-254 | g-255 | g-256 | g-257 | g-258 | g-259 | g-260 | g-261 | g-262 | g-263 | g-264 | g-265 | g-266 | g-267 | g-268 | g-269 | g-270 | g-271 | g-272 | g-273 | g-274 | g-275 | g-276 | g-277 | g-278 | g-279 | g-280 | g-281 | g-282 | g-283 | g-284 | g-285 | g-286 | g-287 | g-288 | g-289 | g-290 | g-291 | g-292 | g-293 | g-294 | g-295 | g-296 | g-297 | g-298 | g-299 | g-300 | g-301 | g-302 | g-303 | g-304 | g-305 | g-306 | g-307 | g-308 | g-309 | g-310 | g-311 | g-312 | g-313 | g-314 | g-315 | g-316 | g-317 | g-318 | g-319 | g-320 | g-321 | g-322 | g-323 | g-324 | g-325 | g-326 | g-327 | g-328 | g-329 | g-330 | g-331 | g-332 | g-333 | g-334 | g-335 | g-336 | g-337 | g-338 | g-339 | g-340 | g-341 | g-342 | g-343 | g-344 | g-345 | g-346 | g-347 | g-348 | g-349 | g-350 | g-351 | g-352 | g-353 | g-354 | g-355 | g-356 | g-357 | g-358 | g-359 | g-360 | g-361 | g-362 | g-363 | g-364 | g-365 | g-366 | g-367 | g-368 | g-369 | g-370 | g-371 | g-372 | g-373 | g-374 | g-375 | g-376 | g-377 | g-378 | g-379 | g-380 | g-381 | g-382 | g-383 | g-384 | g-385 | g-386 | g-387 | g-388 | g-389 | g-390 | g-391 | g-392 | g-393 | g-394 | g-395 | g-396 | g-397 | g-398 | g-399 | g-400 | g-401 | g-402 | g-403 | g-404 | g-405 | g-406 | g-407 | g-408 | g-409 | g-410 | g-411 | g-412 | g-413 | g-414 | g-415 | g-416 | g-417 | g-418 | g-419 | g-420 | g-421 | g-422 | g-423 | g-424 | g-425 | g-426 | g-427 | g-428 | g-429 | g-430 | g-431 | g-432 | g-433 | g-434 | g-435 | g-436 | g-437 | g-438 | g-439 | g-440 | g-441 | g-442 | g-443 | g-444 | g-445 | g-446 | g-447 | g-448 | g-449 | g-450 | g-451 | g-452 | g-453 | g-454 | g-455 | g-456 | g-457 | g-458 | g-459 | g-460 | g-461 | g-462 | g-463 | g-464 | g-465 | g-466 | g-467 | g-468 | g-469 | g-470 | g-471 | g-472 | g-473 | g-474 | g-475 | g-476 | g-477 | g-478 | g-479 | g-480 | g-481 | g-482 | g-483 | g-484 | g-485 | g-486 | g-487 | g-488 | g-489 | g-490 | g-491 | g-492 | g-493 | g-494 | g-495 | g-496 | g-497 | g-498 | g-499 | g-500 | g-501 | g-502 | g-503 | g-504 | g-505 | g-506 | g-507 | g-508 | g-509 | g-510 | g-511 | g-512 | g-513 | g-514 | g-515 | g-516 | g-517 | g-518 | g-519 | g-520 | g-521 | g-522 | g-523 | g-524 | g-525 | g-526 | g-527 | g-528 | g-529 | g-530 | g-531 | g-532 | g-533 | g-534 | g-535 | g-536 | g-537 | g-538 | g-539 | g-540 | g-541 | g-542 | g-543 | g-544 | g-545 | g-546 | g-547 | g-548 | g-549 | g-550 | g-551 | g-552 | g-553 | g-554 | g-555 | g-556 | g-557 | g-558 | g-559 | g-560 | g-561 | g-562 | g-563 | g-564 | g-565 | g-566 | g-567 | g-568 | g-569 | g-570 | g-571 | g-572 | g-573 | g-574 | g-575 | g-576 | g-577 | g-578 | g-579 | g-580 | g-581 | g-582 | g-583 | g-584 | g-585 | g-586 | g-587 | g-588 | g-589 | g-590 | g-591 | g-592 | g-593 | g-594 | g-595 | g-596 | g-597 | g-598 | g-599 | g-600 | g-601 | g-602 | g-603 | g-604 | g-605 | g-606 | g-607 | g-608 | g-609 | g-610 | g-611 | g-612 | g-613 | g-614 | g-615 | g-616 | g-617 | g-618 | g-619 | g-620 | g-621 | g-622 | g-623 | g-624 | g-625 | g-626 | g-627 | g-628 | g-629 | g-630 | g-631 | g-632 | g-633 | g-634 | g-635 | g-636 | g-637 | g-638 | g-639 | g-640 | g-641 | g-642 | g-643 | g-644 | g-645 | g-646 | g-647 | g-648 | g-649 | g-650 | g-651 | g-652 | g-653 | g-654 | g-655 | g-656 | g-657 | g-658 | g-659 | g-660 | g-661 | g-662 | g-663 | g-664 | g-665 | g-666 | g-667 | g-668 | g-669 | g-670 | g-671 | g-672 | g-673 | g-674 | g-675 | g-676 | g-677 | g-678 | g-679 | g-680 | g-681 | g-682 | g-683 | g-684 | g-685 | g-686 | g-687 | g-688 | g-689 | g-690 | g-691 | g-692 | g-693 | g-694 | g-695 | g-696 | g-697 | g-698 | g-699 | g-700 | g-701 | g-702 | g-703 | g-704 | g-705 | g-706 | g-707 | g-708 | g-709 | g-710 | g-711 | g-712 | g-713 | g-714 | g-715 | g-716 | g-717 | g-718 | g-719 | g-720 | g-721 | g-722 | g-723 | g-724 | g-725 | g-726 | g-727 | g-728 | g-729 | g-730 | g-731 | g-732 | g-733 | g-734 | g-735 | g-736 | g-737 | g-738 | g-739 | g-740 | g-741 | g-742 | g-743 | g-744 | g-745 | g-746 | g-747 | g-748 | g-749 | g-750 | g-751 | g-752 | g-753 | g-754 | g-755 | g-756 | g-757 | g-758 | g-759 | g-760 | g-761 | g-762 | g-763 | g-764 | g-765 | g-766 | g-767 | g-768 | g-769 | g-770 | g-771 | c-0 | c-1 | c-2 | c-3 | c-4 | c-5 | c-6 | c-7 | c-8 | c-9 | c-10 | c-11 | c-12 | c-13 | c-14 | c-15 | c-16 | c-17 | c-18 | c-19 | c-20 | c-21 | c-22 | c-23 | c-24 | c-25 | c-26 | c-27 | c-28 | c-29 | c-30 | c-31 | c-32 | c-33 | c-34 | c-35 | c-36 | c-37 | c-38 | c-39 | c-40 | c-41 | c-42 | c-43 | c-44 | c-45 | c-46 | c-47 | c-48 | c-49 | c-50 | c-51 | c-52 | c-53 | c-54 | c-55 | c-56 | c-57 | c-58 | c-59 | c-60 | c-61 | c-62 | c-63 | c-64 | c-65 | c-66 | c-67 | c-68 | c-69 | c-70 | c-71 | c-72 | c-73 | c-74 | c-75 | c-76 | c-77 | c-78 | c-79 | c-80 | c-81 | c-82 | c-83 | c-84 | c-85 | c-86 | c-87 | c-88 | c-89 | c-90 | c-91 | c-92 | c-93 | c-94 | c-95 | c-96 | c-97 | c-98 | c-99 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12276 | id_843baf550 | trt_cp | 48 | D1 | -0.4058 | -0.3321 | -0.1978 | 1.7460 | -0.2183 | -1.2990 | 0.0056 | -1.0930 | 0.6952 | 1.8400 | 0.5498 | -0.7930 | 0.9326 | 0.1712 | 0.0859 | -0.3463 | 0.8160 | 1.1290 | 0.3020 | -1.8890 | -0.0511 | 0.2796 | 0.5574 | 1.0110 | -0.3384 | 0.0941 | 0.9491 | 1.0780 | 1.5410 | -0.7920 | 1.0910 | 0.6661 | -0.9051 | 0.7166 | 0.0474 | -0.2384 | 0.4473 | 0.0736 | -0.9734 | -0.4039 | 0.6003 | 0.7901 | 0.0563 | -1.7990 | 0.5673 | -0.8153 | -0.3338 | 0.4796 | 0.7707 | 0.5933 | 1.3650 | -1.1110 | -0.7970 | 0.3708 | 0.3556 | 1.1040 | 1.9260 | 1.8890 | 0.5931 | 0.2420 | 0.1477 | -0.5256 | -0.6276 | -1.7700 | -0.2573 | -0.7463 | 0.3547 | 0.0670 | -0.4575 | 0.0126 | 0.5709 | -3.6790 | 0.7267 | -0.8062 | 0.3378 | 1.1700 | -0.3221 | 0.6616 | -0.9348 | 0.0145 | -0.0276 | 0.3689 | 0.9041 | -0.9647 | 1.1670 | -1.0790 | -1.0610 | -0.8789 | 0.6530 | -0.2882 | 0.6712 | -0.5035 | 0.4465 | -0.1371 | -0.9287 | -0.9712 | 0.3329 | -0.8139 | 0.3827 | 0.2928 | -1.1590 | 0.9830 | -0.5694 | -1.5810 | 0.0000 | 1.6080 | 0.3372 | 0.3471 | 1.0720 | -1.3780 | 0.6600 | -1.0340 | -0.7169 | 1.4320 | 1.4610 | 0.7541 | -0.0352 | 1.1950 | 0.8315 | -0.7375 | -1.5770 | 0.0314 | -0.1849 | -0.1715 | -0.3721 | 1.1050 | -1.5840 | 1.2800 | -0.8505 | -0.8549 | -0.6018 | -1.3450 | 0.2184 | 0.1633 | 0.1604 | 0.0569 | 0.1251 | 1.1730 | 0.2656 | -0.3192 | -0.0262 | 0.2418 | -0.5324 | 0.9987 | 1.1330 | -0.5225 | 0.2482 | -0.3724 | -0.7538 | 2.2390 | 0.3916 | -0.0549 | 0.6209 | 0.3228 | 0.1608 | -1.5020 | -0.1478 | 3.4350 | -1.0830 | 0.7465 | 1.1280 | -0.1267 | -0.3502 | -0.4858 | -1.3360 | 0.3362 | 0.5724 | 1.5760 | -0.4415 | -1.1660 | -0.2057 | -0.8397 | -0.8792 | -0.2525 | 0.2215 | -0.4658 | -0.2038 | -0.1752 | 3.2970 | 1.4090 | -0.5163 | -1.0600 | 1.6520 | -0.2797 | -0.0627 | 0.6987 | 1.7090 | 0.7335 | 0.2896 | 0.3573 | 2.9350 | -0.5059 | 0.7444 | -1.1840 | 0.8173 | -0.9639 | 0.5177 | -0.5660 | -0.6953 | 0.7081 | -0.1838 | -0.5176 | 0.4200 | 0.0104 | 0.5234 | -0.2468 | 0.7215 | -1.1910 | -1.0290 | -0.0602 | -0.5827 | 0.8643 | -1.9090 | 0.0000 | 1.5780 | 0.9377 | -1.3720 | 0.2011 | 0.3182 | -0.0823 | 0.5580 | -0.0062 | -0.3694 | 0.5812 | -0.1462 | 0.3291 | 0.1437 | -0.8178 | 1.0590 | -1.4160 | -0.9223 | -0.2168 | -1.4580 | -0.2721 | -0.8847 | -0.0295 | 0.0697 | -0.0391 | 0.0000 | 0.2646 | 0.6001 | -0.2626 | -1.5160 | -1.2090 | 0.5537 | -2.1520 | 0.4749 | -0.9222 | 0.3534 | 0.8405 | 1.4210 | -1.3830 | -0.0821 | 0.6070 | 0.7379 | -0.1737 | -1.4540 | -0.5139 | 0.6718 | 1.1060 | -0.3173 | -1.8160 | -0.3457 | 0.6396 | 1.5320 | -0.2859 | -1.0700 | 0.7649 | -0.4133 | 0.5367 | 0.2269 | -0.0621 | 0.6053 | 0.2500 | 0.0398 | -1.2970 | 1.1200 | -0.1611 | -0.1204 | -0.2980 | 0.7793 | 1.9970 | 1.5200 | -0.5686 | -0.1505 | 0.4098 | -1.8010 | -0.2173 | 0.6645 | 0.4843 | 1.0390 | 0.0277 | 0.2108 | 0.5143 | 0.2995 | -0.4684 | 0.7526 | 0.1359 | 0.5035 | -0.2661 | -1.1770 | -0.0093 | 0.5274 | -0.2812 | 0.4202 | -0.4431 | -0.5929 | 0.0000 | -0.8985 | -0.4538 | 0.1072 | -0.9462 | 0.2269 | 0.9881 | 0.2421 | -0.9471 | -1.1960 | -0.5401 | -1.0330 | 1.5320 | 0.0503 | -0.3843 | 0.1631 | 0.0037 | 0.3555 | -0.9353 | 1.2030 | 0.4874 | -1.7880 | -4.4290 | -0.9318 | -0.3046 | 0.2485 | -0.6308 | 0.5469 | 0.5080 | -1.1240 | 0.7488 | -0.0406 | -0.2107 | -0.5998 | -1.1610 | 1.6820 | 0.8240 | -1.2160 | -0.4348 | 0.9620 | 0.7394 | -0.5145 | 0.6059 | 0.1532 | 1.0990 | -0.5105 | 0.0333 | 0.8347 | -0.4296 | -0.9299 | 0.6885 | 0.1996 | 0.3372 | 0.0277 | -0.7054 | 0.6344 | 0.2988 | 2.3070 | -1.0610 | -0.1845 | -1.1070 | 1.2490 | -0.1868 | 0.3372 | 0.4080 | 0.0428 | -0.6302 | -0.2601 | -3.1190 | 1.5610 | -1.6540 | 2.5720 | 0.3947 | 0.9991 | -0.9523 | -2.5380 | -0.8656 | 1.0790 | 0.6148 | 0.0720 | -0.9782 | -0.7229 | 0.2199 | 0.1063 | -0.4942 | 0.3950 | -1.4180 | 0.5958 | 0.6009 | -0.4401 | -1.8940 | -0.3260 | 0.5121 | 0.9725 | -0.3159 | 0.2240 | -0.6844 | -0.8981 | 0.2179 | 1.2840 | 0.4732 | -0.6542 | -0.5053 | 0.0321 | 0.9925 | -0.5964 | 0.1857 | 0.3717 | -0.0221 | -0.1740 | -1.1450 | -0.9882 | 0.0495 | -0.1312 | -0.1156 | -1.3210 | 0.3189 | -0.3566 | -0.0925 | 0.0396 | -1.0310 | -0.1994 | -0.5273 | 0.6783 | -0.7781 | 0.1400 | -0.8527 | 0.2335 | 0.3180 | 0.6309 | -1.1090 | -0.2841 | 0.8247 | -1.3090 | -0.2831 | 1.3730 | 0.6155 | -0.0727 | -0.4028 | 0.1821 | -0.4421 | 0.8659 | 0.7733 | -0.3001 | -0.0999 | 0.1639 | 0.0785 | -1.3720 | 0.0232 | 0.9059 | -0.8825 | 0.1644 | 1.2340 | 0.6033 | -0.9198 | -0.6678 | -0.3419 | -0.0670 | 2.3990 | -0.8220 | -0.6946 | -0.7592 | -0.3898 | -1.7890 | -1.8150 | -1.9260 | 0.6587 | 0.5910 | 0.2301 | 0.7019 | -0.8836 | -0.1850 | 0.9795 | -1.0400 | 0.6287 | 0.0277 | -0.5074 | -0.5310 | -0.5296 | -0.6717 | -1.1390 | 0.0698 | 0.1953 | -0.8745 | 0.4899 | -0.0704 | -0.0852 | -1.1770 | -0.7669 | -0.1089 | -0.8149 | 0.0398 | -0.5193 | -0.4374 | 0.5845 | -0.5845 | 0.1536 | -1.9010 | 0.7028 | 0.3198 | -0.5256 | 1.1830 | 1.1600 | 0.9328 | 0.5324 | 1.0230 | -0.4263 | 0.3136 | -0.7558 | 0.2781 | 0.3814 | 0.2199 | -0.7462 | 0.3651 | -0.0319 | 0.4624 | 1.3620 | 0.4609 | -0.3999 | -0.3550 | 1.3040 | -0.3729 | 0.5954 | 1.5800 | -0.6080 | -0.7006 | -0.4059 | 0.5858 | 1.1310 | -0.1538 | -0.1617 | -0.3440 | 0.8416 | 0.2880 | 0.3764 | 0.5589 | 0.1486 | -1.1270 | 0.9105 | -0.6992 | 0.5635 | -1.1860 | 1.0110 | 0.0000 | 0.6022 | -1.0280 | -1.2510 | -0.4006 | -0.7815 | -1.4430 | 0.7470 | -0.1076 | -1.1560 | -0.8529 | 1.2830 | 0.7212 | 0.8244 | -0.0178 | 1.0130 | -1.8130 | -0.0326 | 0.0335 | -0.2546 | -0.4951 | 0.4724 | 0.1181 | -0.1870 | -0.6280 | 0.1837 | -1.0300 | -0.8956 | 0.3736 | 0.3702 | 0.1976 | -0.6494 | -1.1100 | 0.6412 | 1.2940 | 0.5008 | -0.3459 | -1.0040 | -0.7552 | 0.2048 | -0.2030 | 0.0420 | 1.3640 | -0.4176 | -1.3150 | -1.9200 | -0.3417 | 0.3867 | 0.0965 | -0.6291 | 0.6538 | 0.7765 | 1.1490 | 0.1423 | -0.6774 | -0.5132 | 0.7617 | -1.0710 | 0.1668 | 0.9880 | 0.9324 | -1.4680 | -0.0043 | -1.2800 | -0.2443 | 0.1411 | 1.2590 | -0.0243 | -0.3372 | 0.0170 | -2.5520 | 0.4178 | 0.0143 | -0.3943 | 1.1240 | 0.3620 | 0.0396 | 0.0209 | -0.1048 | -0.3340 | -0.2006 | 0.3123 | 0.4364 | -0.2624 | -0.0182 | -0.7420 | 0.3089 | 0.2462 | 0.0769 | -0.1650 | 0.1988 | 0.6323 | -0.2008 | -0.4484 | 1.4270 | -0.4029 | 0.2749 | 0.5814 | -0.2248 | -0.1652 | 0.7333 | -0.0709 | 0.6219 | 0.4955 | -0.6161 | 1.9210 | 0.2585 | -0.3361 | 0.6364 | -0.2805 | 0.9973 | -0.1203 | -0.2137 | -0.3612 | 0.0903 | -0.4320 | 0.1842 | -0.1435 | -0.3146 | 0.3332 | 0.5112 | 0.1332 | 1.2920 | 0.6653 | 1.2360 | 0.2555 | -1.0770 | 0.4029 | 0.8789 | 1.2200 | 1.1300 | 0.1976 | 2.0380 | 0.3564 | -0.0614 | -0.1326 | 0.8213 | -0.4472 | 1.9270 | 0.3200 | 1.4720 | 0.7321 | 0.1965 | -0.5562 | 0.4286 | 0.4228 | -0.2422 | 0.3616 | 0.2037 | 2.0860 | -0.2555 | 0.5918 | 0.8887 | -0.3117 | 0.5135 | -0.3433 | -0.5354 | 0.000 | 0.6110 | -0.6900 | -0.9032 | -1.9530 | -1.0860 | 0.5970 | -0.1524 | -0.0229 | 0.2492 | -0.6676 | 0.3189 | 0.1820 | -0.7000 | 0.5953 | 0.1322 | 0.6899 | 0.7517 | 0.0876 | 0.2031 | -0.1255 | -0.7797 | -0.6975 | -1.3020 | -1.6580 | 0.4863 | 0.4491 | 0.5171 | 1.1830 | 0.9923 | 0.3266 | 0.4194 | 0.8868 | -1.4860 | 1.2990 | -0.1067 | 0.4731 | 0.8102 | -0.8902 | 0.4152 | 0.7180 | 0.4685 | 0.4159 | 0.4962 | 1.6980 | -1.2510 | 0.8184 | 0.5395 | 0.9608 | 0.6522 | 1.0130 | 0.8000 | 0.7991 | -0.2816 | -1.0860 | -0.0284 | 0.8201 | -2.3680 | 0.4463 | 1.0170 | -0.3384 | 0.3203 | -0.1423 | 1.1410 | -0.5832 | 1.4560 | 1.3370 | 1.1900 | 0.2825 | 0.9525 | 0.7450 | 1.8450 | 1.2100 | 0.1424 | 0.2174 | 1.1460 | 1.0850 | -0.0769 | 1.8430 | 0.5867 | 0.7081 | 1.6330 | 0.3024 | 0.7488 | 1.0530 | 0.9515 | 1.7820 | 0.3062 | 0.9136 | 0.8130 | 1.2460 | 1.0620 | 0.9617 | -0.8018 | 0.5978 | 1.1730 | 1.1700 | 0.5037 | 1.4360 | 1.1440 | 1.0610 | 0.5983 | 0.9244 | 1.8580 | 0.7240 | 1.0230 | 0.6785 | 0.9988 | 1.1830 | 0.8493 | 1.6500 | 0.8508 | 0.7939 | 1.3550 | -0.1573 | 0.1150 | 1.8570 | 1.1400 | 0.6298 | 1.6920 | 1.2770 | 0.8715 | 0.3682 | -0.1066 | 1.3230 | 1.6130 | 0.3780 | 0.7722 | 1.0030 | 0.8204 | 1.4730 | 0.9822 | 0.6615 | 1.5350 | 0.0709 | 1.2450 | 0.5045 | 0.8293 | 0.9382 | 0.8332 | 1.5210 | 0.1510 | 0.9571 | 1.1180 | 1.6660 | 0.8384 | 0.7266 | 1.5300 | 0.9714 | 1.2060 | 0.7724 | 0.2943 | 0.7638 | 0.3578 | 0.9178 | 1.2150 | 0.8355 | -0.3401 | 1.0140 | 1.6970 | 0.3108 | 1.5660 | 1.2480 | 0.8806 | 0.5137 |
| 8181 | id_57dc82c5a | trt_cp | 72 | D1 | -0.0202 | 0.0935 | -3.8710 | -0.6266 | -0.6521 | 0.0539 | -0.9688 | -0.4307 | -1.1800 | 1.2920 | -0.0997 | -3.1110 | -0.2887 | -1.4260 | 0.3798 | 0.3586 | -0.5780 | -1.4190 | -0.5464 | -0.2617 | 0.1911 | -0.8427 | 0.3790 | 0.6183 | -0.7206 | -0.3792 | -0.1194 | -0.6461 | -0.9319 | -0.5056 | -0.1453 | -0.3428 | 0.4821 | -0.9118 | 1.1140 | -0.3367 | -0.1963 | -0.1540 | 0.4883 | -0.0422 | 0.2998 | -1.0900 | 1.6420 | 0.2677 | -0.8317 | 0.6893 | 0.1157 | 1.0290 | 0.7005 | 0.6953 | -0.1129 | -1.3170 | 0.7160 | 1.4350 | 0.0777 | -0.1399 | 0.7613 | -0.0319 | 0.2585 | -0.9162 | 0.7443 | 0.5630 | -0.0829 | -0.0845 | 0.0757 | -0.6702 | 0.5855 | 0.7477 | 0.2837 | -0.4394 | 0.5707 | 1.0130 | -0.2532 | 0.6378 | 0.0732 | 0.3217 | -0.0081 | -0.2210 | -0.2041 | 2.6860 | -0.6657 | 0.2271 | 1.1560 | 1.2110 | -0.1057 | 0.6809 | -0.7435 | 0.6904 | -0.3418 | 0.1348 | 0.9241 | 0.8282 | 0.2131 | -0.2576 | -0.6138 | -0.1246 | -0.0174 | -1.0200 | 0.0108 | 0.5440 | -0.3835 | -0.7595 | 3.3320 | -0.2842 | -0.0914 | 0.1847 | 0.4336 | -0.2790 | -0.7244 | -0.1010 | -0.1721 | 1.2350 | -1.0800 | 0.6007 | 0.1032 | -0.2989 | -0.1063 | -0.1312 | -0.7569 | -0.6430 | -0.7163 | -0.7006 | -0.2903 | -0.3651 | 0.4140 | 0.0098 | -0.5724 | 0.1380 | -0.0696 | -0.3468 | -0.7806 | 0.3255 | 0.1157 | 0.1221 | 0.4014 | 0.0280 | -1.0240 | -0.9703 | 0.5834 | -0.3647 | 0.2839 | -1.9450 | -0.6059 | 2.8640 | 0.5426 | 0.1507 | 0.3641 | 0.2330 | -0.3953 | 0.3486 | 0.5387 | -0.4974 | -0.0437 | -0.3171 | 0.3820 | -0.8803 | -0.5078 | 0.9933 | 0.0312 | -0.5981 | 0.4893 | -4.6160 | 0.4500 | -0.0669 | 0.0018 | -0.4730 | -0.6486 | 0.4326 | -0.5985 | -0.3498 | 0.1414 | -0.2552 | 0.8285 | 0.1300 | 1.4680 | -1.1990 | 0.2734 | -0.4587 | 0.5764 | -0.0556 | 1.3350 | -0.6610 | -0.1125 | -0.0155 | 1.1090 | -1.3540 | 0.8448 | 0.1499 | -0.2285 | 1.0070 | -0.3849 | -1.2190 | -0.1942 | 1.0460 | -0.1434 | 0.1145 | -0.2093 | -0.1033 | -0.0853 | -0.6127 | -0.5123 | -0.1644 | 0.0483 | 0.3300 | -0.1866 | -0.6224 | -0.8407 | 0.9062 | 0.5448 | -0.9097 | 0.5009 | -0.4249 | -0.0231 | 0.0529 | 0.1152 | -0.9562 | 0.1702 | -1.6170 | 0.1389 | -0.1217 | 0.5308 | -1.1950 | -0.1955 | 0.0295 | 1.0420 | -0.0371 | 0.1760 | 0.3164 | 0.1789 | -0.1206 | 0.4501 | -0.0205 | -1.0030 | 0.9197 | -0.2948 | -0.2420 | -0.5453 | -0.6323 | 0.0000 | 0.7081 | -0.3874 | -0.3672 | 0.7914 | -0.6402 | -0.1639 | 0.0972 | 0.0105 | 1.0980 | 0.3214 | -0.2524 | 0.2092 | -0.2476 | 0.2615 | -0.2405 | -0.2961 | 0.1506 | 0.6813 | 0.3778 | 0.7912 | -0.6329 | -0.5825 | 0.1814 | -0.2781 | 0.0951 | -0.9443 | -0.1159 | -0.6848 | 0.6741 | -0.4826 | 0.0415 | -0.3490 | -0.0007 | -0.1874 | 0.1697 | 0.0790 | -0.5122 | -0.2524 | 0.7035 | 1.0200 | 0.0867 | 0.9291 | -0.1663 | -0.5123 | -0.3417 | 0.2384 | 0.2840 | -0.8671 | -0.5353 | 0.4673 | 0.0543 | 2.4170 | 0.6711 | -1.0300 | 1.0100 | -0.2107 | -0.3679 | -0.2396 | -0.0037 | -0.3640 | -1.1910 | 0.6343 | 0.0941 | 0.1046 | 0.5720 | -0.3780 | -0.8810 | 1.1630 | 0.0000 | -1.0020 | 0.1364 | -0.1239 | 0.3153 | -0.1707 | 0.1220 | -0.4903 | -0.5828 | 0.3884 | 0.2569 | 0.9247 | 0.4468 | -0.3851 | 0.2077 | -0.2933 | -2.4390 | 0.2786 | 0.0897 | -1.7640 | 1.3990 | 0.7714 | -0.0755 | -0.5779 | 0.2695 | -0.3058 | -0.7170 | -1.0450 | -0.1754 | 1.1910 | -0.0870 | -0.3732 | -0.6032 | -0.0508 | 0.9898 | 0.9116 | 0.6584 | 0.0478 | -0.8320 | -0.7072 | 0.5962 | -0.2060 | -0.3472 | -0.2760 | -0.3295 | 0.5573 | 0.3260 | -0.2871 | 0.2756 | -0.6203 | -0.4386 | 0.3977 | 0.4428 | -0.6110 | -0.7515 | 0.2759 | -1.2290 | -0.0863 | -0.4072 | -1.4180 | 0.5742 | 0.2083 | -0.1524 | 0.0000 | -0.1388 | -0.9713 | -0.2073 | -1.3290 | -0.0126 | 0.1456 | -0.5463 | -1.0250 | 0.0356 | -0.9618 | 0.0938 | 0.6679 | -1.6850 | 0.1884 | -1.2890 | 0.5987 | -0.1218 | 0.9642 | 0.3422 | 0.2012 | 1.3870 | -0.6621 | 0.6134 | -0.0286 | 0.5558 | -0.0516 | -0.1764 | 0.3057 | -0.7629 | -0.8653 | 0.7709 | 0.3710 | -0.2138 | -0.1024 | 0.6080 | -1.0310 | -0.9229 | 0.9076 | -0.7254 | -0.7960 | 0.2388 | -2.3170 | -0.3886 | 0.4598 | 0.2565 | -1.0190 | 0.4615 | -0.3524 | -0.6354 | 0.8038 | 0.9159 | -0.0101 | -0.0503 | -0.5789 | 0.6946 | -0.0150 | 0.4225 | 0.4520 | -0.4097 | -1.3630 | 0.6293 | -0.6268 | 1.0430 | -0.3733 | 0.2695 | 0.0137 | -0.4841 | 1.2110 | -0.0554 | -0.3945 | 1.4430 | -0.3409 | 0.1053 | -0.8937 | 0.3568 | 0.5833 | 0.2152 | -0.9777 | 0.2450 | -0.1635 | -0.9686 | 0.7715 | 0.4215 | -0.7514 | 0.3036 | 0.1350 | -0.3451 | -0.3103 | 0.0241 | -0.8062 | 0.7010 | 1.7310 | 0.7382 | -1.0580 | 0.1921 | 0.2529 | -1.0980 | 0.0730 | 0.0796 | 0.4734 | -0.9655 | -0.3904 | 0.4225 | 0.1573 | -0.2231 | 0.1974 | 0.3900 | 0.0737 | 0.7330 | 0.1078 | -0.0095 | 0.7321 | 0.1316 | -0.5662 | -0.4059 | -0.0014 | 0.2442 | 0.5127 | 0.0440 | 0.9177 | -0.2607 | -0.6680 | -0.0826 | -0.2829 | -0.8331 | 0.4334 | -0.5536 | 0.0121 | -0.4762 | 0.9028 | -0.4862 | -0.7605 | -0.4834 | 0.2772 | 0.2770 | 0.9659 | 1.3490 | -2.2860 | 0.6418 | 0.2007 | -0.7700 | -0.0754 | 1.0090 | 2.1630 | 0.3235 | -0.5687 | 0.5339 | 0.0915 | -0.4561 | 0.2036 | 0.1431 | -0.3384 | 0.6133 | 0.6052 | -0.2333 | 0.3812 | 0.6601 | -0.1572 | -0.2930 | -0.6454 | -0.2763 | -0.0410 | 0.5713 | -0.1756 | -0.7553 | 0.5082 | -0.8630 | -0.8778 | 0.7786 | 1.8980 | 0.2576 | -0.6793 | 0.7423 | 0.8370 | 0.2969 | -1.2600 | 1.0310 | 0.0921 | -0.1754 | -1.1410 | -0.1137 | -0.2598 | -0.4412 | 0.6055 | 0.8611 | 0.1290 | 0.5787 | 0.5438 | 0.3447 | 0.9775 | 0.7042 | 0.2624 | 0.4977 | 0.1458 | 1.0210 | -0.8048 | 0.6509 | 0.5949 | -0.6430 | 0.6677 | 1.0970 | 1.3110 | -0.0532 | 0.1951 | -0.7530 | 0.1883 | 1.7310 | 1.3600 | 1.4940 | 0.3214 | -0.4226 | -0.1654 | 0.0401 | 0.1764 | -1.7680 | 0.3655 | 1.2990 | -0.5224 | -0.2059 | -1.0290 | -0.6612 | -0.0343 | -1.2590 | 0.9162 | 0.0729 | 0.5160 | 0.3655 | 2.7790 | 0.5242 | -0.2982 | -0.0348 | 0.4022 | -0.1709 | -0.1270 | 2.9400 | 0.6308 | -0.2253 | 0.2851 | -0.7279 | 0.1259 | 0.3705 | -0.5411 | 0.7409 | 0.1877 | -0.5551 | 0.5848 | 0.1644 | 1.2040 | -0.5339 | -0.7593 | -0.4119 | 0.8941 | 0.4423 | 0.4288 | 0.5096 | -0.5514 | 0.5928 | -0.3716 | -0.2772 | 1.0090 | 0.4234 | 0.3733 | -1.6320 | -0.2228 | 0.8141 | 0.1784 | -0.3982 | -0.7117 | 1.2330 | -0.6636 | 0.7204 | -0.1933 | 0.8479 | 0.2786 | 1.8010 | -0.2332 | -0.2066 | -0.3277 | 1.5660 | 0.1165 | -0.4999 | 0.3652 | 2.5040 | 0.4421 | -0.1058 | 0.8046 | 0.3478 | 0.0587 | -0.8433 | -0.3431 | 0.6885 | -0.1134 | -0.0167 | -0.0785 | -1.1100 | 1.2700 | 2.0100 | 0.1524 | 0.3487 | 0.6105 | 0.4083 | 0.3084 | 1.6160 | 0.2098 | -0.3479 | 0.1517 | -0.2863 | -1.3670 | -0.1420 | -0.0747 | 0.0288 | -0.3817 | 0.6677 | -0.8622 | 0.0589 | 0.2052 | 0.2843 | 0.1960 | -0.1723 | -0.0094 | 0.0231 | -0.5102 | -0.0018 | 0.5771 | -0.1687 | -0.4525 | -0.3032 | 0.5433 | 0.5927 | -0.0512 | -0.8470 | 0.2156 | 1.0630 | -0.2245 | 0.5253 | -0.5170 | 0.000 | -0.1965 | -1.0680 | -0.2973 | -0.5200 | 0.2264 | 0.4647 | 0.3363 | 0.6199 | 0.1542 | 1.7880 | 0.4526 | -2.6270 | -0.5155 | -0.0556 | -0.1440 | -0.1486 | 1.1070 | -0.3817 | 1.1100 | 0.3319 | 0.5590 | 0.6888 | -0.2692 | 0.6977 | 0.0466 | -0.6661 | 0.4879 | -1.2650 | 1.2940 | 0.7243 | 0.3932 | -0.2043 | 0.1711 | -0.1116 | 0.6981 | 0.4644 | -1.1410 | -0.0227 | 0.8666 | 0.8108 | -3.2370 | 0.8407 | -0.2742 | 0.1459 | -0.2241 | 0.2587 | -0.3695 | -2.1220 | 0.3045 | -0.2024 | -0.0303 | -0.0430 | -0.6944 | -0.4577 | 0.0369 | 0.7699 | 0.3758 | -0.5850 | 0.7535 | 0.8358 | -0.1055 | 0.4905 | -0.1030 | 0.1196 | -1.6170 | -0.0117 | -2.0050 | -0.6313 | -0.6257 | -0.8305 | -0.4509 | -1.5840 | -1.0530 | -0.9024 | -0.7616 | -0.3420 | -0.2764 | -1.3540 | -0.2048 | -0.4347 | -0.6524 | -0.9162 | -1.7620 | -0.2915 | -0.2674 | -0.2477 | -0.3254 | 0.0408 | -1.0020 | -0.5920 | -0.7003 | -0.0350 | -1.9760 | -0.8947 | -0.5589 | -0.8430 | -1.1360 | -1.5970 | -0.2157 | -0.9672 | -0.4501 | -0.8109 | -0.3100 | -0.4794 | -1.1580 | -0.6701 | -0.8097 | -0.9587 | -0.2609 | -0.7314 | -1.7680 | -0.1748 | -1.4680 | -0.6644 | 0.0714 | -1.3880 | -0.6461 | -1.7370 | -0.4773 | -1.5320 | -0.1515 | -0.9758 | 0.0768 | -0.7020 | -0.7682 | -1.6220 | -1.4510 | -0.2776 | -0.4738 | -0.1204 | -0.3229 | -1.4370 | -0.8725 | -1.1840 | -0.1416 | -1.5700 | -0.7219 | -1.3190 | -0.2902 | -0.2518 | 0.4167 | -0.0306 | -0.6578 | -0.7490 | -0.5614 | -0.2924 | -1.7060 | -1.5380 | -0.6887 | -0.8990 | -0.0437 | -0.8838 | -1.2060 | -1.4340 | -0.5755 | -0.9548 | -0.5346 | -0.5270 | -0.9161 | -0.6379 | -1.1830 | -1.4460 | -0.8897 | -1.6710 |
| 4667 | id_322b2f678 | trt_cp | 72 | D1 | -0.5006 | -0.1347 | -0.4483 | -0.8398 | -0.2346 | 0.1326 | 1.7800 | 0.0170 | -0.2086 | -0.3378 | -0.3360 | 2.6540 | 0.6797 | 0.2034 | -0.4944 | 0.4033 | 0.2620 | -0.1200 | 0.2236 | -0.5272 | 0.4911 | -0.0150 | -0.5422 | -0.8465 | 0.1379 | -0.3170 | -0.2446 | -0.2338 | -0.4869 | 0.7988 | -0.0578 | 0.3167 | -0.2543 | 0.4323 | 0.9481 | -0.5242 | 0.6324 | 0.9581 | 0.3787 | 1.1340 | -1.3190 | 0.8497 | -1.1510 | -0.4977 | 2.0440 | -0.9467 | 0.0034 | -0.0100 | -0.5730 | -0.0570 | 0.7250 | -0.2241 | 0.2307 | -0.2414 | 0.9825 | -0.5967 | -4.9690 | 0.5756 | -0.2757 | 0.7018 | -0.5804 | 0.0321 | -0.5989 | -0.1055 | -0.7435 | -0.2836 | -0.1038 | -0.6388 | -0.0786 | 0.2229 | 0.5630 | 0.9295 | -0.9174 | 0.3661 | 1.2320 | -0.1194 | -0.0483 | -0.2047 | -0.6365 | 1.8650 | -0.8296 | 0.5406 | 0.1219 | 0.0767 | 0.5558 | -0.5231 | 1.0350 | 0.4428 | -0.5968 | 0.0843 | -0.3328 | 0.9988 | -1.6860 | -0.8073 | -0.3244 | 0.8442 | 0.4732 | 0.0576 | -0.7264 | 0.9572 | -0.1287 | -1.2810 | 0.4324 | 0.7858 | 0.0000 | -0.4350 | -0.1647 | -1.2320 | 1.1150 | -0.3649 | 0.1981 | -0.7842 | 0.1203 | -1.3090 | -0.0473 | 2.2640 | 0.3589 | 1.0500 | 0.0157 | -0.5757 | 0.2470 | -0.7976 | 0.6536 | 0.9337 | 0.4158 | -0.4552 | 0.3954 | -0.2682 | -0.8613 | -0.3167 | -0.6033 | 0.7648 | 0.0000 | 0.4050 | 1.1740 | -0.0340 | -1.3620 | 1.2980 | -0.1202 | -0.0937 | -0.1922 | -2.8000 | -0.1216 | 0.6726 | 0.4555 | -0.4939 | 1.0990 | -0.3825 | 0.1834 | -0.4664 | -0.6139 | -0.6465 | -0.9963 | -0.4681 | 0.3357 | 0.5618 | 0.1952 | -0.2167 | -1.0550 | -0.6171 | -0.0970 | 0.6385 | 0.7740 | 0.5024 | 0.4769 | -0.2724 | -0.5876 | -0.3067 | -0.5591 | 0.6293 | 0.1978 | -1.0750 | -0.8929 | -0.4768 | -0.3856 | 0.2392 | -1.0940 | -0.0386 | -0.2339 | -1.0800 | -0.5175 | -0.4966 | -0.2546 | 0.1460 | 0.7699 | 0.2920 | 0.5098 | 0.7797 | 0.2151 | -0.7650 | 0.6791 | 0.0383 | -0.4098 | -1.4500 | -2.0110 | -0.5084 | -1.1740 | 0.5308 | 0.4309 | -0.6864 | 1.0730 | 0.5124 | 0.0746 | 0.4991 | 1.1710 | 1.1070 | 0.1016 | 0.3936 | -0.5851 | -0.5546 | 0.7883 | -1.0890 | -1.1510 | 0.7395 | 0.1705 | 0.6129 | -0.0076 | -0.6811 | -0.4987 | -0.3056 | -0.0741 | -0.1302 | -0.7672 | -0.1521 | 0.0141 | 0.2129 | -1.0690 | -0.3271 | -0.8139 | 0.2837 | 1.3200 | -0.6794 | 0.1412 | 0.1257 | 0.4780 | -1.2790 | 0.5060 | 0.2490 | 0.3372 | 0.7857 | 0.7794 | 0.1522 | -0.5630 | 1.5250 | 0.9685 | -0.0203 | -1.1760 | 0.5135 | -1.0030 | 1.2850 | 1.1930 | 1.3060 | 1.2670 | 0.9205 | -0.1415 | 0.8225 | -0.0834 | 0.2984 | -0.3264 | 1.3500 | -0.2318 | -0.4832 | -0.3492 | 0.1625 | 0.9632 | -0.2691 | 0.6642 | -1.3190 | -1.0880 | 0.1511 | 0.9712 | 0.3101 | 0.8055 | 0.9419 | 0.1397 | -0.6568 | -0.3180 | -0.3497 | -0.0766 | 0.8865 | 0.6337 | 0.0261 | -0.0848 | 0.4611 | -0.2493 | 0.5418 | -0.3017 | 1.2160 | 0.9631 | 0.7187 | -0.8888 | -0.6798 | 0.7068 | 0.1433 | -0.0902 | -1.0410 | -0.3128 | 0.1376 | -0.5689 | 0.3248 | 0.0825 | -0.8824 | 0.8446 | -0.0424 | -0.3905 | 4.1110 | -0.2271 | 0.0307 | -0.0580 | 0.0243 | 0.4933 | -0.4713 | 0.2587 | -0.3638 | -0.3919 | -0.8153 | -0.4694 | -0.4800 | -0.7330 | 0.9449 | 1.5540 | 0.9055 | -0.3618 | -0.2785 | -0.5215 | -0.0911 | 0.2983 | -0.3198 | 0.1974 | 0.2588 | 0.8569 | 0.1963 | 1.2280 | -0.7224 | 1.3160 | 0.5022 | -0.6061 | 0.0274 | 1.6570 | -0.8996 | 1.2510 | -0.6040 | -0.8128 | -0.0513 | 0.1486 | 0.1451 | -0.2596 | -0.2147 | 1.0100 | 0.0651 | 0.8357 | 1.1890 | -0.4430 | -0.5097 | -0.1194 | -0.6858 | -1.2080 | -0.6073 | 0.3891 | 0.8850 | 0.0994 | 0.0155 | -0.1157 | 0.1865 | -0.1400 | -0.8727 | -0.9945 | -0.5307 | 0.2624 | 0.2130 | -0.0307 | 0.0388 | 0.1840 | 2.0060 | -0.1400 | -1.4200 | -0.0565 | 0.0168 | 0.4483 | -0.1987 | 0.1035 | 0.2568 | -0.4097 | -0.2296 | -0.8068 | 0.7943 | -0.4954 | 0.2909 | 0.6828 | 0.2686 | 0.7666 | 0.8028 | 0.3001 | 0.1880 | -0.8192 | -1.3650 | -0.5618 | -0.4630 | 0.0184 | -0.1335 | 1.0900 | -1.1750 | 0.6422 | -0.4123 | -0.5968 | -0.2459 | 0.1242 | 1.2380 | -0.7219 | 0.7568 | -0.2701 | -1.4370 | 0.0413 | 0.9373 | 0.3888 | -1.0820 | -0.0688 | 0.3049 | 0.0266 | 0.2598 | -0.7312 | -0.9319 | -0.3197 | -0.7517 | 1.6550 | -0.2930 | 0.3399 | -0.4484 | -0.2149 | 0.1352 | 1.0260 | 0.7274 | 0.2769 | -0.2521 | 0.3894 | -0.3110 | -1.0170 | -0.6774 | -0.4822 | 0.4629 | -0.6702 | 0.0046 | -0.4336 | 0.4467 | -1.0660 | -0.6402 | 0.1196 | -0.8598 | 0.2584 | -0.0464 | -0.4771 | 0.1716 | 0.3672 | -0.4379 | -0.4259 | -0.9419 | -1.1320 | -1.0800 | 0.8220 | 0.8249 | -0.7517 | 0.0833 | 2.2330 | -0.5920 | 0.5536 | -0.1451 | -0.0617 | -0.5466 | -1.8310 | -0.2947 | -1.7520 | 0.0406 | -0.8543 | 0.4111 | -0.3103 | 0.0976 | -0.0619 | -0.0316 | -0.6906 | -0.3474 | -1.3450 | 0.0239 | -0.4055 | 0.1057 | 1.8120 | -0.5685 | -0.2555 | -0.8235 | -0.4469 | 0.2773 | 0.1695 | 0.4430 | 0.9405 | -0.0836 | 0.7395 | -0.3911 | -0.0517 | -0.1343 | 0.2140 | -0.4971 | 0.9801 | 0.9452 | 0.8233 | -0.3699 | 0.2285 | 1.1250 | 0.8824 | 0.8386 | 0.4734 | -0.8251 | 0.8608 | -0.0578 | -0.6173 | -1.2380 | 0.1701 | 1.0510 | -0.2526 | 1.2040 | -0.3329 | 0.7273 | -1.6240 | 1.1390 | -0.0206 | 1.8940 | 0.2728 | -0.2611 | -0.9583 | -0.1533 | 0.8695 | -0.0658 | -0.3670 | 0.4135 | -0.7684 | 0.3644 | 1.0110 | 0.3519 | -0.0867 | -0.0620 | 0.2814 | 0.3110 | 3.4250 | 1.0420 | -0.1232 | 0.8452 | -0.9925 | -0.5925 | -0.5367 | -0.2750 | -1.1060 | -0.4908 | -0.0917 | 0.5969 | 0.5711 | -0.5812 | -0.4448 | -0.4588 | 0.6708 | 0.6775 | 0.1809 | -0.5785 | -0.4013 | -0.0628 | -0.4025 | -0.0726 | 0.4482 | -0.8611 | -0.0669 | -0.3444 | 0.2336 | -0.2384 | -0.8140 | 0.5990 | -0.0661 | -0.1201 | 0.9277 | 0.9349 | 0.7737 | 0.9028 | -0.1288 | -0.0197 | 0.8805 | -0.4588 | 0.1198 | 0.7918 | 0.3216 | -0.0943 | -0.3554 | -0.9947 | -1.0870 | -1.2890 | 0.7711 | -0.1264 | -0.7388 | 0.1914 | 0.8870 | -0.3788 | 1.2420 | -0.1994 | 0.7279 | 0.2133 | 1.6600 | -1.1050 | 0.1528 | -0.4394 | 0.6898 | -0.3925 | -0.8342 | -0.0421 | 0.1072 | 1.5690 | 0.6472 | 0.4025 | -0.9387 | 0.0401 | 0.2032 | 0.4356 | -0.5707 | 1.0040 | 0.2755 | 0.4593 | -0.2916 | 1.0080 | 0.4656 | -0.3796 | -0.3221 | 0.4043 | 0.1713 | 0.0474 | 0.3843 | 0.3371 | -0.9088 | -0.1015 | -0.9146 | 0.1604 | -0.0719 | 0.6469 | -0.5145 | 0.4711 | 0.6489 | 0.2927 | -0.6391 | -1.1220 | 0.8542 | -0.6673 | 1.2740 | -0.0633 | 1.0400 | 0.7184 | 0.8992 | -0.4990 | 1.3780 | 0.1855 | -0.6936 | -4.6780 | 0.0040 | 0.0273 | -0.6950 | 0.7352 | 0.9968 | 1.0660 | -0.1331 | 0.2907 | 0.6671 | 0.2998 | 0.6875 | -1.8520 | 0.2957 | 0.3617 | -0.4825 | -0.2939 | 0.7351 | 1.0490 | -0.7646 | 0.1014 | -2.4800 | -1.1280 | -0.0630 | -1.0860 | -0.6377 | 1.2660 | -1.0530 | 0.2513 | 0.2822 | -1.1960 | -0.0579 | -1.4560 | 1.2150 | 1.6210 | -0.4081 | 0.7673 | 0.6794 | -1.5920 | -1.5430 | -0.9510 | -0.0769 | -0.5796 | 0.5672 | 0.3668 | 0.0712 | 0.6670 | 0.2398 | -0.4824 | -0.0097 | -0.6874 | -0.8872 | 0.2376 | 0.6223 | 0.000 | -0.6843 | 0.0781 | 0.1903 | 0.4035 | 0.6470 | -0.5074 | 0.9620 | -1.9400 | -0.4288 | -1.4860 | 0.2563 | -0.4442 | 1.0150 | -0.2332 | -2.0130 | 0.0367 | -0.4706 | 0.5379 | -1.0340 | 0.2799 | -0.5290 | -0.2482 | 0.5541 | 0.0860 | -0.0423 | -0.9638 | -0.1592 | 0.5518 | -0.7861 | -0.8890 | 0.1731 | 0.0583 | -0.6696 | -0.0318 | 0.7700 | -0.6164 | 2.2560 | -0.5505 | -0.0935 | 0.3985 | -4.9840 | 0.7120 | 0.5205 | 0.8600 | 0.8424 | 0.1486 | -0.5679 | 0.0143 | -0.2222 | -0.2031 | 1.1090 | 0.3246 | -0.8573 | 0.4846 | 0.0748 | -0.9209 | -0.5432 | 0.2609 | -0.6064 | 0.3342 | 1.0950 | 0.4944 | -0.2804 | 1.0120 | 0.0311 | 0.2105 | -0.2224 | 0.1980 | 0.2818 | 0.2967 | 0.4452 | -0.8932 | 0.3471 | -0.0399 | 0.6467 | 0.8726 | -0.1983 | -0.0998 | 0.9376 | 0.2089 | 0.2471 | -0.5016 | 0.5253 | 0.2605 | -0.5106 | 0.3879 | -0.1256 | 0.0217 | 0.3525 | 0.6330 | -0.4262 | 0.8410 | -0.3086 | 0.2837 | -0.6467 | -0.0643 | -0.1532 | 0.5589 | 0.1874 | -0.3255 | -0.5315 | 0.1064 | -0.1527 | 0.3532 | 0.2105 | 0.3615 | 0.4655 | 0.4108 | 0.0268 | 0.8855 | -0.0753 | -0.3167 | 0.8598 | 0.9451 | 0.3878 | 0.7249 | 1.1420 | -0.0686 | 0.8748 | 0.0814 | -1.2410 | 0.2664 | -0.8967 | -0.4452 | -0.1887 | -0.4504 | 0.2436 | 0.7658 | 0.2651 | 0.4942 | -0.2967 | 0.5357 | 0.2072 | 1.4010 | 0.3974 | 0.1654 | 0.6244 | -0.0579 | -0.2815 | 0.1217 | 0.4632 | 0.6141 | 0.0263 | 0.1398 | 0.0072 | 0.0324 | 0.2174 | 0.9139 | -0.5058 | 0.4386 | -1.1340 | -0.3925 | -0.0159 | -0.4141 | 0.2484 | -0.6096 | 0.7482 | -0.3195 | 0.0733 | 0.4909 | 0.3914 | 0.9686 | -0.0612 | -0.2119 |
| 15548 | id_a76c49729 | trt_cp | 48 | D2 | -0.6777 | 0.1007 | -0.8098 | 0.1861 | -0.2613 | -0.9035 | -0.8875 | -0.0357 | 0.0289 | 0.9500 | 0.6200 | 1.7160 | 0.3618 | -0.8997 | 0.5295 | 0.1386 | 1.3470 | 0.0836 | -0.2017 | 0.2268 | 0.0781 | -0.4554 | 0.2506 | -0.1511 | -0.3879 | -0.1274 | 0.0640 | 0.2610 | 0.1160 | 0.1285 | -0.2883 | -0.5915 | -0.8396 | 0.4176 | 0.7406 | -0.1207 | 0.5123 | 0.0954 | -0.7838 | 0.1265 | 0.0059 | 0.1202 | -0.8921 | -0.8277 | 0.6155 | 0.3599 | -0.8942 | 0.5878 | -0.1530 | 0.4997 | -0.0705 | 0.4944 | 0.3303 | 0.3261 | -1.1110 | -1.1170 | -1.8380 | 0.6840 | -0.9062 | -0.3928 | -0.0678 | -0.3981 | 0.1046 | 0.3546 | -0.5144 | 0.3752 | 0.1383 | -0.8788 | 0.9769 | -0.2956 | 0.1109 | 0.4949 | 3.1090 | -0.4977 | 0.2175 | -0.2769 | 0.0341 | -0.4814 | -0.3677 | 0.3135 | -0.9860 | 0.6344 | 0.1593 | -0.0671 | 0.4664 | -1.8180 | 0.1365 | -0.2524 | -0.3841 | 0.5265 | 0.6537 | -2.7610 | -0.9109 | -0.2170 | 0.2440 | -0.2478 | 0.7872 | 0.0573 | 0.1693 | -0.1706 | -0.7400 | -0.1025 | -0.4100 | -0.5989 | -1.6690 | 1.6490 | -0.4068 | -0.9353 | -1.2490 | 0.2225 | -0.3056 | 0.0000 | 0.0929 | -0.2215 | 0.2483 | 0.7026 | -0.0803 | -0.1085 | 1.2060 | -0.3589 | 0.0433 | 0.4887 | 0.1915 | 1.8230 | -0.1040 | 0.6292 | -0.3082 | -0.5463 | 0.0031 | -0.8982 | -0.1358 | 0.0327 | 0.1137 | -0.8350 | 0.1998 | -0.6060 | -0.1871 | 0.9601 | 1.1160 | -0.4491 | 0.2559 | 0.6998 | -0.3687 | -0.2148 | 0.1535 | -0.9216 | 0.2829 | -0.7849 | 0.0083 | -0.6876 | 0.3317 | 0.0703 | 0.8513 | 0.0000 | -0.2499 | 0.5527 | 0.7593 | 0.0550 | -0.4599 | -1.1950 | 1.5990 | 0.3827 | -0.1669 | 1.5320 | 0.1009 | -0.5822 | 0.1388 | 0.2123 | 0.8128 | 0.5626 | 0.5897 | -0.0694 | -0.3747 | 0.0429 | -0.3093 | -0.0019 | -0.5022 | 0.6770 | -0.1262 | 0.0530 | -0.1494 | 0.1766 | -0.5381 | -0.4140 | 0.6100 | -0.7905 | -0.2128 | 0.0227 | -0.6863 | -0.1790 | 0.3152 | -0.3229 | 0.2093 | 0.3383 | 0.1599 | 1.1370 | -0.7136 | -0.4972 | 0.2344 | 0.3740 | -0.0379 | -0.1118 | -0.1672 | 0.7736 | 0.0418 | -1.3940 | 0.2259 | 0.2678 | 0.4622 | -0.0457 | -0.6078 | -0.0762 | -0.3259 | 0.4128 | 0.3693 | 0.2819 | 0.7541 | 0.2979 | 0.2568 | 1.2330 | 0.0132 | -0.2453 | -0.8987 | -1.5690 | -0.2298 | 0.3550 | -0.6744 | 0.0026 | 0.2599 | 0.1018 | 0.2372 | 0.1705 | -0.6444 | 0.4093 | 0.1732 | -0.1895 | -0.0217 | -0.5293 | -0.3089 | -1.0100 | -0.2868 | -0.2822 | -0.0222 | -0.2213 | -0.0938 | -0.1335 | -0.8913 | 0.3319 | -0.5130 | 0.0659 | 0.6486 | 0.4295 | 0.3831 | -0.0510 | -0.7932 | 0.6381 | 0.3881 | -0.2242 | -0.1928 | 0.1695 | -0.3279 | 0.4926 | 0.1589 | 0.7026 | -0.1052 | -0.9507 | 0.0964 | 0.8178 | -0.0403 | 0.0055 | -0.4202 | -0.0953 | -0.0242 | 0.1202 | -0.0110 | 0.4825 | -0.7163 | -0.2448 | 0.0445 | -0.0321 | -0.1960 | 0.3827 | 0.9312 | 0.4794 | 0.9736 | -0.5267 | 1.0320 | -0.5241 | 0.5678 | 0.3900 | -0.5654 | -0.2323 | 0.3745 | -0.5175 | 0.0865 | 1.8400 | 0.0488 | 0.7629 | -0.3270 | -0.3959 | 0.4128 | 0.3862 | -0.4353 | 0.4850 | -0.6019 | -0.1032 | 0.8984 | 0.0000 | 0.8248 | -0.1539 | -0.8734 | 0.5807 | -0.1703 | 0.2014 | -1.1750 | -0.0461 | 0.4521 | 0.2512 | -0.0138 | -0.1758 | -0.2919 | -0.3688 | 0.9496 | -0.1597 | -0.4374 | 0.8399 | 0.3392 | 1.0980 | 0.2209 | -0.0299 | -0.3701 | 0.8478 | 0.8065 | 0.4513 | -0.0621 | 0.2868 | 0.4529 | 0.4916 | 0.8130 | 0.2117 | -0.2973 | 0.0881 | 0.5422 | 0.0196 | -0.1875 | -0.6213 | 0.1726 | -0.2043 | -0.0798 | 0.0649 | 0.2030 | -0.1387 | -0.5264 | 0.8607 | -0.3982 | -0.2362 | -0.2381 | -0.4018 | 0.1616 | -0.1749 | 0.0668 | 0.1558 | 0.1722 | -0.5784 | 0.3223 | 0.4691 | -0.1504 | 0.2964 | -0.0856 | 0.0853 | -1.0330 | -0.8210 | -0.2929 | -0.0063 | -0.4708 | -0.2089 | 1.2070 | -0.4239 | 0.2126 | 1.0340 | -0.7115 | -0.1978 | 0.2881 | 0.2678 | 0.1641 | 0.2748 | 0.1454 | -0.3758 | -0.5390 | -0.6127 | 1.5770 | 0.9479 | -0.2578 | 0.1173 | 0.2522 | -0.2419 | -0.5590 | 0.4456 | -0.5597 | 0.5245 | -0.0160 | 0.1047 | 0.1090 | -0.2086 | -0.6653 | 0.5227 | 0.3368 | 0.1269 | 0.0640 | 0.2789 | 0.1709 | 0.4596 | -0.0730 | -0.0283 | 0.2229 | -0.6138 | -1.0210 | -0.4973 | 0.1861 | 0.4033 | 0.1096 | -0.7638 | -0.2530 | 0.4189 | -0.7951 | -0.1312 | 0.5038 | -0.2290 | -0.3101 | -0.2289 | -0.0311 | 0.4742 | 0.1570 | 0.3522 | 0.2087 | -0.3160 | 0.0226 | -0.4995 | 0.0910 | 0.2587 | -0.0562 | -0.0406 | 0.4534 | 0.1309 | -0.5292 | 0.5038 | 0.2124 | 0.1354 | -0.0934 | -0.2068 | -0.0062 | -0.1835 | -0.7330 | 0.0583 | -0.2617 | -0.2803 | -0.2700 | 1.1990 | -0.2231 | -0.1416 | -0.8511 | -0.1942 | 1.0310 | 0.4636 | -0.2681 | -1.2570 | 0.5221 | -0.7299 | 0.2321 | -0.3548 | -0.3299 | 0.7606 | 0.8262 | 0.0081 | 0.0007 | -0.3436 | 0.2070 | -0.7163 | 0.5196 | 0.0883 | -0.7507 | 0.2742 | -0.1403 | -0.7932 | -0.4902 | -0.2678 | 0.5659 | 0.4780 | -0.0644 | 0.2042 | 0.5304 | -0.1289 | -0.3494 | 0.6064 | -0.3056 | 0.2855 | -0.7645 | 0.1363 | 0.1113 | 0.6211 | 0.3837 | 1.3050 | -0.2975 | 0.1839 | -0.2901 | 1.1620 | 0.0194 | 0.0529 | -0.2388 | 0.2840 | -0.3876 | 0.5818 | -0.0249 | 0.2403 | -0.5595 | 0.9491 | -0.7504 | 0.6988 | 0.3211 | -0.2048 | -0.2092 | 0.4460 | -0.0469 | 0.0087 | 0.0907 | 0.6083 | -1.4760 | -0.3274 | -0.0434 | -0.3350 | 0.0522 | 0.1208 | 0.1329 | -0.0674 | -0.8123 | -0.5036 | -2.0260 | -0.4506 | -0.2891 | 0.1102 | -0.3076 | -0.0914 | -0.1599 | -0.6305 | 0.1411 | 0.3701 | 0.7299 | 0.6320 | -0.1083 | -0.3760 | -0.2357 | 0.1273 | -1.3550 | -0.1011 | 0.0708 | -2.0320 | -1.0610 | 0.8866 | -0.1356 | -0.5335 | -0.1840 | 0.4604 | 0.3045 | 0.2431 | 0.1869 | 0.2731 | 0.0994 | 0.1490 | -1.4130 | 0.1011 | 0.2378 | -0.1132 | 1.0450 | -0.6993 | 0.7664 | -0.1106 | -0.5020 | 0.6047 | -0.2169 | 0.2975 | -0.2321 | -0.4918 | -3.1650 | -0.3292 | 0.3260 | 0.0349 | 0.4601 | 0.0944 | -0.5447 | -1.2610 | 0.7451 | 0.0664 | 1.3980 | -0.1933 | 0.0471 | 0.8399 | 0.2553 | 0.5130 | 0.0566 | 0.4976 | -0.0175 | -0.5318 | 0.6814 | 0.2054 | 0.5571 | 0.7109 | 0.6919 | -0.2591 | 3.3140 | 0.2026 | -1.0070 | -0.7517 | -0.5234 | -0.2185 | -0.1207 | -0.5525 | 0.6535 | -0.4255 | 0.0000 | 0.1541 | 0.4140 | 0.4733 | 0.5373 | 0.0799 | -0.0828 | -0.6363 | 0.0179 | -0.0813 | 0.0435 | 0.3978 | -0.1447 | 0.3455 | 0.4833 | -0.3903 | -0.1605 | -0.1433 | 0.3442 | -0.6513 | -0.8893 | -0.5210 | -0.3230 | 0.9554 | -0.0833 | -0.6177 | 0.4015 | 0.0003 | -0.2696 | 0.1759 | -0.0532 | -0.0644 | 0.0714 | -1.1670 | 0.1626 | -0.2720 | 0.9636 | 0.9492 | 0.6354 | -0.1807 | -0.1377 | -0.2658 | 0.2471 | 0.4267 | -1.1370 | -0.6187 | -0.0336 | 0.5342 | -0.3624 | 0.5574 | 0.0432 | 0.3936 | 0.1103 | -0.0432 | 0.4080 | 0.7206 | 0.3311 | -0.1390 | -0.5357 | -0.5272 | 0.2273 | 0.4337 | 0.1639 | -0.1984 | 1.8730 | -0.3170 | -0.3524 | 0.1797 | 0.1612 | -0.3976 | 0.0778 | -0.4232 | -0.2360 | -0.3656 | -2.0730 | -0.3312 | 1.6890 | 0.3839 | 0.0037 | 0.5552 | 0.2512 | -0.5646 | 0.5940 | 0.5822 | 0.6957 | 0.0721 | -0.9810 | 0.2173 | -0.7615 | 6.752 | 0.7180 | -0.2263 | -0.1181 | 0.1996 | -0.1409 | -0.7820 | 1.5100 | -1.2780 | 0.3983 | 0.6707 | -1.1390 | -0.0385 | 0.0066 | -0.3718 | 0.0222 | 0.5375 | 0.0249 | -0.5788 | 0.8846 | -0.5273 | 0.1624 | -0.1577 | -0.0449 | -0.2919 | -0.5358 | -0.8864 | -0.0057 | -0.4924 | -0.5581 | 0.4100 | 0.3404 | 0.4277 | -0.3076 | 0.3575 | 0.3062 | 0.2327 | 0.4783 | 0.0379 | -0.6813 | 0.5035 | 0.2477 | 0.0566 | 0.8579 | 0.3025 | -0.6503 | -0.1153 | 0.1204 | -0.5326 | -0.4915 | 0.3009 | -0.0000 | 0.1772 | 0.2970 | -0.0095 | -0.1539 | 0.5410 | -0.3909 | -0.0307 | 0.0278 | 0.2865 | 0.5412 | 1.2760 | 0.0059 | 0.0099 | 0.3556 | -0.1529 | 1.5140 | 0.3974 | 0.3087 | 0.1148 | 0.7931 | 1.1210 | 0.8686 | 0.1537 | 0.8961 | 0.6515 | 0.8348 | 0.6309 | 0.0654 | 0.7857 | 0.2343 | 0.4501 | -0.5436 | 0.9379 | -0.1203 | -0.1641 | -0.4581 | 0.4573 | 0.1958 | 0.4810 | 0.6693 | -0.5356 | 0.4397 | -0.4328 | 0.8612 | -0.4027 | -0.1639 | 0.4039 | 0.6812 | 0.1047 | 0.9511 | 0.9203 | -0.1856 | -0.1825 | 1.1480 | -0.2244 | 0.0647 | 0.2521 | 1.0260 | 0.3180 | 0.2386 | 0.6636 | 0.8791 | -0.2125 | 0.8770 | 0.1849 | 1.0800 | 0.6961 | 0.0500 | 0.3468 | -0.5960 | -0.4146 | 0.5995 | -0.4157 | 0.0839 | -0.2670 | 0.7369 | 0.6765 | 1.5610 | 1.0560 | -0.2675 | 0.1420 | 1.1920 | 0.0536 | 0.1485 | 0.8645 | 0.9234 | 0.7668 | -0.6377 | 0.6745 | 0.2707 | 0.6061 | 0.9026 | 0.4502 | -0.1404 | 0.4445 | -0.2716 | 0.2585 | 0.8593 | 0.9947 | 0.6548 | 1.1500 | 0.5236 | 0.3692 | 0.5623 | 0.1486 | -0.2745 | 0.2116 | 0.3791 | -0.0103 | 0.2047 | -0.2459 | 0.0227 | 0.6276 |
| 15206 | id_a35ce02ff | trt_cp | 48 | D1 | -0.1526 | 0.2129 | 0.3058 | -1.0440 | 2.2800 | -0.1027 | -0.7309 | -1.0210 | 0.7081 | 0.0221 | -0.2360 | 0.2567 | 0.3017 | 0.4678 | -0.3926 | 0.8063 | 0.1127 | 0.4733 | 0.2705 | -2.5530 | 0.7114 | 1.2270 | 0.0396 | -0.1004 | 0.1981 | 0.6113 | 0.6585 | 1.0580 | 0.0172 | -0.1055 | 0.7925 | -0.4698 | -0.5843 | -0.3670 | 0.0971 | 0.5068 | 0.0465 | 0.6080 | -0.6118 | 0.6293 | -1.1460 | 1.1540 | 1.0390 | 0.2246 | 1.6560 | 0.0592 | 0.1544 | -0.3616 | 0.0876 | -0.7121 | 0.4346 | 0.2782 | 0.0545 | -0.0382 | 0.0870 | 0.1007 | 0.9892 | -0.5497 | -0.7938 | 0.7749 | -1.2060 | 0.2508 | 1.1090 | 0.0369 | 1.5350 | 0.5649 | -1.2990 | 0.8453 | 0.7973 | -0.2449 | 0.2900 | -0.1010 | -0.4523 | -0.1310 | -0.9074 | 0.2610 | 0.1959 | 0.5540 | -0.1603 | -0.2330 | 0.5750 | -0.5827 | 0.1420 | -0.7251 | -0.9433 | -0.3981 | -0.1516 | 0.1196 | 0.0569 | 0.3461 | 0.5634 | -0.2366 | -0.4779 | -0.3626 | 0.6679 | -1.1630 | 0.6611 | 0.6468 | 0.0301 | 0.1334 | -0.0118 | 0.2048 | -0.9810 | 0.1189 | 0.5339 | -0.3964 | -0.0620 | 0.4798 | -0.1098 | 0.4712 | -0.3707 | 0.0314 | 0.5057 | 0.3075 | -1.0390 | -0.9381 | -0.4653 | -0.3410 | 0.4666 | 0.2732 | 0.7373 | 0.6851 | -0.4792 | -0.9913 | -1.7500 | -0.1761 | -0.4259 | 0.0877 | 0.5653 | 0.4220 | 0.0116 | -1.1960 | -0.0253 | -0.3965 | -1.1450 | -0.6659 | 0.1727 | -0.0858 | 0.9570 | 0.0650 | -0.2865 | 0.1669 | -0.8250 | 0.6579 | -0.3831 | -0.9277 | -0.6599 | -0.9126 | -0.5149 | -0.7720 | 0.3823 | 0.4313 | 0.2053 | -1.1450 | -0.2344 | -0.2597 | 0.6728 | 0.0721 | -0.0916 | 1.0950 | 2.6840 | 0.0973 | 0.2327 | -0.2538 | -0.1958 | 0.1650 | 0.7278 | -0.2338 | -0.1138 | 0.7426 | 0.0756 | 1.3600 | -1.4070 | -1.0720 | -1.0980 | -0.2229 | -0.7472 | 0.2499 | -0.5925 | 1.0800 | -0.5791 | 0.3410 | -0.2281 | 0.8849 | 0.8084 | 0.9745 | -0.6433 | 0.6560 | -0.2838 | 0.8336 | 0.2401 | -0.2753 | -0.2732 | -0.4063 | 0.5319 | 0.3769 | 0.4461 | -0.1592 | 0.1246 | 0.9251 | -0.5194 | -0.4414 | -0.6696 | -0.2119 | -4.5490 | 0.4042 | -0.3105 | 0.5443 | 0.5003 | -0.7303 | -0.3140 | 0.8234 | 0.3662 | -0.2368 | 1.0210 | 0.6179 | 0.4944 | 0.4368 | 1.0050 | -0.0829 | 0.3512 | -0.8505 | -0.2526 | -0.5806 | -0.0602 | -0.1200 | 0.6182 | -0.2265 | -0.1477 | -0.5577 | 0.7386 | -0.1867 | 0.7491 | 0.1055 | -0.1713 | 0.1610 | -0.2790 | -0.5401 | -0.2648 | 0.5015 | -0.2630 | 0.3998 | 1.0650 | -0.5479 | -0.1868 | -0.4488 | -0.8163 | 1.7060 | 0.4311 | -1.6970 | 0.3560 | -0.1182 | -0.1610 | -0.4450 | 0.3964 | 0.2540 | 0.8641 | 0.6969 | -1.1310 | -0.3835 | 0.0905 | -0.5865 | 1.1250 | 0.2790 | 0.2007 | 0.5659 | -0.2888 | -0.8916 | -0.6604 | 0.3032 | -0.4484 | 1.2490 | -0.6665 | 0.0673 | 0.2564 | 0.7041 | 0.2259 | 0.3544 | -0.2162 | -0.9560 | -0.7073 | 0.0780 | 0.4211 | -0.0766 | -1.1320 | -0.6167 | 0.9319 | 0.3726 | 0.3464 | -0.7113 | 1.3850 | 1.5630 | 0.2022 | -0.5690 | 0.4327 | -1.2050 | 0.6157 | 1.7130 | 0.5024 | -0.2192 | 0.5331 | -0.3557 | 1.3070 | -0.3465 | -0.4042 | -0.4793 | 0.3138 | 0.0000 | 0.5729 | 0.3271 | 0.2814 | 0.1040 | -0.3914 | -0.4082 | 0.8693 | 0.3049 | 0.6378 | -0.2216 | 0.4029 | 0.3554 | -0.1473 | -0.9961 | -0.1026 | 0.7509 | -0.5277 | 0.0073 | 0.0092 | -0.5754 | -0.6215 | -0.6379 | -0.1996 | 0.1588 | 0.0377 | 0.0761 | -0.0829 | -0.7544 | -0.6036 | -0.7867 | 0.2327 | 0.5969 | -0.4283 | -0.3214 | 0.5285 | 0.5419 | -0.6890 | 0.5411 | 0.2743 | -0.7085 | -0.3848 | 0.4209 | 0.4461 | 1.2130 | 0.3853 | 0.2569 | -0.2607 | -0.6338 | -1.2260 | 0.3123 | -0.3873 | -0.6759 | 0.1612 | 0.7159 | -1.3700 | -0.0889 | 0.9550 | -0.2690 | -0.3293 | -1.3740 | -0.0226 | 0.4033 | -0.8121 | 0.1796 | 0.1922 | -0.7140 | -1.4730 | -0.0390 | 0.6217 | -0.1103 | 0.2408 | 0.3141 | 0.1901 | -0.0692 | 0.4530 | -0.3414 | 0.1452 | 0.7577 | 0.2916 | 0.0637 | -0.4586 | 0.1593 | 0.2462 | 2.5910 | -1.0750 | 0.0948 | 0.4489 | 0.7179 | 0.8099 | 0.7171 | 0.2933 | 0.3994 | 1.0050 | -0.1451 | 0.4312 | 0.3528 | 0.2929 | -0.6356 | 0.4081 | 0.2007 | -0.6139 | -0.6158 | -0.0004 | -0.0946 | -0.3164 | 2.4910 | -0.6001 | -0.7964 | 0.9273 | -1.0870 | -0.7087 | 1.1280 | 0.2938 | -0.8679 | 0.3765 | -0.2705 | -0.0040 | -0.1057 | 0.0789 | 0.1394 | -0.3640 | 1.7340 | 1.3920 | 0.6887 | -0.2208 | 0.1037 | 0.0798 | 0.4772 | -0.6018 | -1.1810 | 0.4972 | 0.1830 | 0.9052 | -0.5649 | -0.9062 | -0.6119 | 0.0824 | 0.6000 | 0.4108 | 0.5348 | -0.6345 | -0.6156 | 1.6280 | -0.1754 | -1.0100 | 0.6917 | -0.2996 | 0.0625 | 0.3949 | 0.4985 | -1.2350 | -0.0054 | -0.1163 | -0.2265 | -0.0917 | 0.0046 | -0.6546 | -0.6740 | 0.9547 | -0.4166 | 0.1440 | -0.7065 | 0.2646 | -0.0715 | 0.2212 | 0.2849 | 0.5445 | -1.2250 | -0.4635 | 0.3113 | -1.3550 | -0.2907 | -0.0208 | -0.2657 | -0.1560 | 1.1100 | -0.9872 | 0.0062 | 0.2908 | -1.3330 | -1.1290 | 0.3764 | -0.5469 | 0.0389 | -1.2930 | -0.4945 | 0.2375 | 0.3549 | -0.1391 | -0.1304 | -1.1360 | -0.1967 | 0.3898 | -0.0022 | -1.1080 | 0.5662 | -0.0115 | -0.5003 | -1.3540 | -1.6290 | 0.0070 | -0.4597 | 1.1440 | 0.6612 | -1.1860 | -0.1768 | 1.9210 | -0.0229 | 0.3514 | -0.2533 | 0.6725 | -0.2445 | 0.6274 | -0.2643 | 1.3450 | -0.0066 | 0.8712 | 0.8656 | -0.9218 | 0.5897 | -0.8773 | -0.3931 | 0.2083 | -0.1674 | 0.6696 | -0.3368 | 0.5681 | 0.1890 | -0.1302 | -2.7890 | -2.2050 | -0.3122 | 0.4063 | -0.0496 | 0.9761 | -0.6073 | 0.3205 | 0.4795 | 0.6959 | -0.3562 | 0.3426 | -0.1735 | -0.4499 | -0.8435 | 1.0080 | 0.0382 | 1.2870 | 0.3834 | -0.6310 | -0.5716 | 0.6141 | -1.0820 | 1.0060 | 0.8451 | -0.1910 | 0.5756 | 0.0322 | 0.6938 | 0.1772 | -0.2593 | 0.5596 | 0.4822 | 0.0387 | 0.6676 | 0.1358 | 0.0924 | 0.1634 | -0.6880 | -0.1491 | 0.3531 | -0.4473 | -0.4076 | -0.3976 | 0.7254 | -0.6898 | -0.3272 | -0.3216 | -0.1905 | 0.8643 | -0.0647 | -0.4750 | -0.6180 | 0.5951 | 0.0645 | 2.0940 | -0.1825 | -1.0730 | -0.0415 | -1.3720 | -0.6603 | -0.3233 | 0.3050 | -1.1390 | 1.2200 | 1.5160 | -0.0985 | 1.2000 | 0.2752 | -0.5358 | -0.5309 | 1.8520 | -0.3647 | -0.3025 | 0.0435 | -0.1277 | 0.4393 | -0.3551 | 0.4311 | 0.2374 | -1.6760 | -0.0127 | -0.4813 | 0.1516 | 0.8809 | -0.0335 | 0.2144 | 0.0120 | -0.2362 | 0.3346 | -0.8321 | -0.7824 | -0.9354 | 1.3510 | -0.5102 | 0.6022 | -0.2070 | -1.2430 | -0.8522 | -0.2362 | -0.1878 | 0.6928 | -0.2050 | -0.2764 | -0.0449 | -0.7709 | 0.3076 | 0.4719 | -0.6644 | -0.3058 | 0.9704 | -1.1360 | -1.7200 | -0.5073 | -0.2969 | -0.5966 | 0.2007 | -0.4141 | 0.0454 | -0.0506 | 0.1224 | 0.2501 | -0.9097 | 1.1740 | -0.1664 | -0.0415 | 0.3121 | 0.4919 | -0.4932 | -1.2200 | 0.4236 | 0.4210 | 0.3084 | 0.7734 | -0.4959 | -0.2708 | -0.1698 | 1.0990 | 0.2618 | 0.1292 | 1.2460 | 0.8731 | 0.0484 | 1.1100 | -0.3223 | -0.4765 | -1.2510 | 0.4771 | -0.2285 | -0.4168 | 0.4510 | -0.0005 | -1.1210 | -0.7268 | -0.4287 | 1.1920 | -0.9382 | -0.1155 | 0.2838 | -0.2900 | 0.4224 | -0.2552 | 0.7934 | 0.9278 | -0.3272 | -0.5549 | 1.4460 | 0.6289 | 0.9173 | -0.3803 | 0.000 | -0.5710 | -0.0351 | -0.6073 | -2.6980 | -0.3112 | 1.7530 | 0.9880 | 0.0013 | -0.3908 | 1.8450 | -0.1763 | 0.2720 | -0.1730 | -0.1729 | 0.4730 | 0.0034 | -0.5938 | 0.4693 | 0.2134 | 0.0366 | -0.4857 | 0.4248 | 0.4918 | 0.0506 | -0.4457 | -0.3843 | 1.0340 | -0.0560 | -1.0820 | 0.2756 | -0.0932 | 0.0984 | 0.0153 | -0.7045 | 0.5213 | -0.2555 | -1.3490 | -0.5163 | -0.3776 | -0.2739 | 0.1658 | 0.4221 | -0.7849 | -1.3110 | -0.6288 | 0.3956 | 0.0146 | 1.1690 | -0.3541 | 0.1572 | -0.6960 | 0.0546 | -1.5200 | -0.3443 | -1.3600 | -0.8691 | -0.6392 | 0.4014 | 0.7926 | 0.8280 | 0.4010 | 0.0406 | -0.9950 | 0.0686 | 1.4800 | 0.5726 | 0.8928 | -0.7204 | 1.1440 | 0.5811 | 1.2730 | 0.6219 | 0.9699 | -0.0349 | 1.0730 | 0.4477 | 0.4943 | 0.4052 | 1.1940 | 1.2830 | -0.1543 | 1.7070 | 0.4439 | 0.3052 | 0.2597 | 0.1742 | -0.3020 | 0.7376 | 0.4184 | 0.7977 | 0.5319 | -0.1446 | -0.2625 | 0.2412 | 1.5200 | 0.8398 | 0.4680 | 0.2487 | 1.2200 | -0.3369 | 0.0465 | 0.4458 | 0.9195 | 0.6617 | 0.3676 | 0.6587 | 0.8850 | 0.7863 | 0.2350 | 0.2233 | 0.7874 | 1.2630 | 1.1460 | 0.8645 | 1.4760 | 0.2711 | 0.6063 | 0.3185 | 1.1620 | -0.5644 | 0.3426 | 0.7003 | 0.8884 | 0.5506 | 0.5042 | -0.1441 | 0.2776 | 0.9069 | 0.1023 | 0.2273 | 0.2053 | 0.6758 | 0.5511 | 0.5327 | 0.3419 | 0.5058 | 0.6916 | 0.9818 | 0.1522 | 0.1786 | -0.1822 | 0.8305 | 0.2073 | 0.8627 | 1.1570 | 1.2660 | 0.3842 | 1.0200 | -0.1927 | 0.4562 | 0.1754 | 0.4041 | 1.2890 | -0.3114 | 0.7094 | 1.2400 | 0.2386 | 0.0022 | 1.0430 | -0.8604 | 0.2769 | 0.0707 | 1.1430 | 0.9360 |
print('Number of rows in training set:', train_features.shape[0])
print('Number of columns in training set:', train_features.shape[1] - 1)
print('Number of rows in test set:', test_features.shape[0])
print('Number of columns in test set:', test_features.shape[1] - 1)
Number of rows in training set: 19051 Number of columns in training set: 875 Number of rows in test set: 4763 Number of columns in test set: 875
train_features['dataset'] = 'train'
test_features['dataset'] = 'test'
df = pd.concat([train_features, test_features])
ds = df[df['dataset']=='train']
ds = ds.groupby(['cp_type', 'cp_time', 'cp_dose'])['sig_id'].count().reset_index()
ds.columns = [
'cp_type',
'cp_time',
'cp_dose',
'count'
]
fig = px.sunburst(
ds,
path=[
'cp_type',
'cp_time',
'cp_dose'
],
values='count',
title='Sunburst chart for all cp_type/cp_time/cp_dose',
width=500,
height=500
)
fig.show()
train_columns = train_features.columns.to_list()
g_list = [i for i in train_columns if i.startswith('g-')]
c_list = [i for i in train_columns if i.startswith('c-')]
# correlation visulization between features (randomly selected 50)
columns = g_list + c_list
for_correlation = np.random.choice(columns, 50)
data = df[for_correlation]
f = plt.figure(
figsize=(18, 18)
)
plt.matshow(
data.corr(),
fignum=f.number
)
plt.xticks(
range(data.shape[1]),
data.columns,
fontsize=14,
rotation=50
)
plt.yticks(
range(data.shape[1]),
data.columns,
fontsize=14
)
cb = plt.colorbar()
cb.ax.tick_params(
labelsize=13
)
This indicates there are high correlation between features. Now try to find pairs of features with high correlation.
# columns of integer values
cols = ['cp_time'] + columns
all_columns = list()
for i in range(0, len(cols)):
for j in range(i+1, len(cols)):
if abs(train_features[cols[i]].corr(train_features[cols[j]])) > 0.9:
all_columns = all_columns + [cols[i], cols[j]]
# set the columns to make sure each appear one time
all_columns = list(set(all_columns))
print('Number of columns:', len(all_columns))
Number of columns: 41
In total we have 35 columns that have correlation with at least another 1 higher than 0.9.
Now let's check target and do some basic analysis on the feature-target relationship.
train_target = pd.read_csv("train_targets_scored.csv")
print('Number of rows: ', train_target.shape[0])
print('Number of cols: ', train_target.shape[1])
train_target.head()
Number of rows: 23814 Number of cols: 207
| sig_id | 5-alpha_reductase_inhibitor | 11-beta-hsd1_inhibitor | acat_inhibitor | acetylcholine_receptor_agonist | acetylcholine_receptor_antagonist | acetylcholinesterase_inhibitor | adenosine_receptor_agonist | adenosine_receptor_antagonist | adenylyl_cyclase_activator | adrenergic_receptor_agonist | adrenergic_receptor_antagonist | akt_inhibitor | aldehyde_dehydrogenase_inhibitor | alk_inhibitor | ampk_activator | analgesic | androgen_receptor_agonist | androgen_receptor_antagonist | anesthetic_-_local | angiogenesis_inhibitor | angiotensin_receptor_antagonist | anti-inflammatory | antiarrhythmic | antibiotic | anticonvulsant | antifungal | antihistamine | antimalarial | antioxidant | antiprotozoal | antiviral | apoptosis_stimulant | aromatase_inhibitor | atm_kinase_inhibitor | atp-sensitive_potassium_channel_antagonist | atp_synthase_inhibitor | atpase_inhibitor | atr_kinase_inhibitor | aurora_kinase_inhibitor | autotaxin_inhibitor | bacterial_30s_ribosomal_subunit_inhibitor | bacterial_50s_ribosomal_subunit_inhibitor | bacterial_antifolate | bacterial_cell_wall_synthesis_inhibitor | bacterial_dna_gyrase_inhibitor | bacterial_dna_inhibitor | bacterial_membrane_integrity_inhibitor | bcl_inhibitor | bcr-abl_inhibitor | benzodiazepine_receptor_agonist | beta_amyloid_inhibitor | bromodomain_inhibitor | btk_inhibitor | calcineurin_inhibitor | calcium_channel_blocker | cannabinoid_receptor_agonist | cannabinoid_receptor_antagonist | carbonic_anhydrase_inhibitor | casein_kinase_inhibitor | caspase_activator | catechol_o_methyltransferase_inhibitor | cc_chemokine_receptor_antagonist | cck_receptor_antagonist | cdk_inhibitor | chelating_agent | chk_inhibitor | chloride_channel_blocker | cholesterol_inhibitor | cholinergic_receptor_antagonist | coagulation_factor_inhibitor | corticosteroid_agonist | cyclooxygenase_inhibitor | cytochrome_p450_inhibitor | dihydrofolate_reductase_inhibitor | dipeptidyl_peptidase_inhibitor | diuretic | dna_alkylating_agent | dna_inhibitor | dopamine_receptor_agonist | dopamine_receptor_antagonist | egfr_inhibitor | elastase_inhibitor | erbb2_inhibitor | estrogen_receptor_agonist | estrogen_receptor_antagonist | faah_inhibitor | farnesyltransferase_inhibitor | fatty_acid_receptor_agonist | fgfr_inhibitor | flt3_inhibitor | focal_adhesion_kinase_inhibitor | free_radical_scavenger | fungal_squalene_epoxidase_inhibitor | gaba_receptor_agonist | gaba_receptor_antagonist | gamma_secretase_inhibitor | glucocorticoid_receptor_agonist | glutamate_inhibitor | glutamate_receptor_agonist | glutamate_receptor_antagonist | gonadotropin_receptor_agonist | gsk_inhibitor | hcv_inhibitor | hdac_inhibitor | histamine_receptor_agonist | histamine_receptor_antagonist | histone_lysine_demethylase_inhibitor | histone_lysine_methyltransferase_inhibitor | hiv_inhibitor | hmgcr_inhibitor | hsp_inhibitor | igf-1_inhibitor | ikk_inhibitor | imidazoline_receptor_agonist | immunosuppressant | insulin_secretagogue | insulin_sensitizer | integrin_inhibitor | jak_inhibitor | kit_inhibitor | laxative | leukotriene_inhibitor | leukotriene_receptor_antagonist | lipase_inhibitor | lipoxygenase_inhibitor | lxr_agonist | mdm_inhibitor | mek_inhibitor | membrane_integrity_inhibitor | mineralocorticoid_receptor_antagonist | monoacylglycerol_lipase_inhibitor | monoamine_oxidase_inhibitor | monopolar_spindle_1_kinase_inhibitor | mtor_inhibitor | mucolytic_agent | neuropeptide_receptor_antagonist | nfkb_inhibitor | nicotinic_receptor_agonist | nitric_oxide_donor | nitric_oxide_production_inhibitor | nitric_oxide_synthase_inhibitor | norepinephrine_reuptake_inhibitor | nrf2_activator | opioid_receptor_agonist | opioid_receptor_antagonist | orexin_receptor_antagonist | p38_mapk_inhibitor | p-glycoprotein_inhibitor | parp_inhibitor | pdgfr_inhibitor | pdk_inhibitor | phosphodiesterase_inhibitor | phospholipase_inhibitor | pi3k_inhibitor | pkc_inhibitor | potassium_channel_activator | potassium_channel_antagonist | ppar_receptor_agonist | ppar_receptor_antagonist | progesterone_receptor_agonist | progesterone_receptor_antagonist | prostaglandin_inhibitor | prostanoid_receptor_antagonist | proteasome_inhibitor | protein_kinase_inhibitor | protein_phosphatase_inhibitor | protein_synthesis_inhibitor | protein_tyrosine_kinase_inhibitor | radiopaque_medium | raf_inhibitor | ras_gtpase_inhibitor | retinoid_receptor_agonist | retinoid_receptor_antagonist | rho_associated_kinase_inhibitor | ribonucleoside_reductase_inhibitor | rna_polymerase_inhibitor | serotonin_receptor_agonist | serotonin_receptor_antagonist | serotonin_reuptake_inhibitor | sigma_receptor_agonist | sigma_receptor_antagonist | smoothened_receptor_antagonist | sodium_channel_inhibitor | sphingosine_receptor_agonist | src_inhibitor | steroid | syk_inhibitor | tachykinin_antagonist | tgf-beta_receptor_inhibitor | thrombin_inhibitor | thymidylate_synthase_inhibitor | tlr_agonist | tlr_antagonist | tnf_inhibitor | topoisomerase_inhibitor | transient_receptor_potential_channel_antagonist | tropomyosin_receptor_kinase_inhibitor | trpv_agonist | trpv_antagonist | tubulin_inhibitor | tyrosine_kinase_inhibitor | ubiquitin_specific_protease_inhibitor | vegfr_inhibitor | vitamin_b | vitamin_d_receptor_agonist | wnt_inhibitor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | id_000644bb2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | id_000779bfc | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | id_000a6266a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | id_0015fd391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | id_001626bd3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
x = train_target.drop(['sig_id'], axis=1).sum(axis=0).sort_values().reset_index()
x.columns = [
'column',
'nonzero_records'
]
x = x.tail(50)
fig = px.bar(
x,
x='nonzero_records',
y='column',
orientation='h',
title='Columns with the higher number of positive samples (top 50)'
)
fig.show()
x = train_target.drop(['sig_id'], axis=1).sum(axis=0).sort_values(ascending=False).reset_index()
x.columns = [
'column',
'count'
]
x['count'] = x['count'] * 100 / len(train_target)
fig = px.bar(
x,
x='column',
y='count',
orientation='v',
title='Percent of positive records for every column in target'
)
fig.show()
The biggest number of positive samples for 1 target column is 3.5%. So we deal here with highly imbalanced data.
data = train_target.drop(['sig_id'], axis=1).astype(bool).sum(axis=1).reset_index()
data.columns = [
'row',
'count'
]
data = data.groupby(['count'])['row'].count().reset_index()
fig = px.bar(
data,
y=data['row'],
x="count",
title='Number of activations in targets for every sample'
)
fig.show()
data = train_target.drop(['sig_id'], axis=1).astype(bool).sum(axis=1).reset_index()
data.columns = [
'row',
'count'
]
data = data.groupby(['count'])['row'].count().reset_index()
fig = px.pie(
data,
values=100 * data['row'] / len(train_target),
names="count",
title='Number of activations in targets for every sample (Percent)'
)
fig.show()
We can see here that about 40% of sample have zeros in all columns and more than 50% have only one active target column.
After looking at the feature and target data repectively, it's time to find the most correlated features(gene differential expression or cell expression variaty) for every target column (every single checkpoint/label in MOA).
correlation_matrix = pd.DataFrame()
for t_col in train_target.columns:
# create a list for each checkpoint/label
corr_list = list()
if t_col == 'sig_id':
continue
for col in columns:
res = train_features[col].corr(train_target[t_col])
corr_list.append(res)
correlation_matrix[t_col] = corr_list
correlation_matrix['train_features'] = columns
correlation_matrix = correlation_matrix.set_index('train_features')
correlation_matrix
| 5-alpha_reductase_inhibitor | 11-beta-hsd1_inhibitor | acat_inhibitor | acetylcholine_receptor_agonist | acetylcholine_receptor_antagonist | acetylcholinesterase_inhibitor | adenosine_receptor_agonist | adenosine_receptor_antagonist | adenylyl_cyclase_activator | adrenergic_receptor_agonist | adrenergic_receptor_antagonist | akt_inhibitor | aldehyde_dehydrogenase_inhibitor | alk_inhibitor | ampk_activator | analgesic | androgen_receptor_agonist | androgen_receptor_antagonist | anesthetic_-_local | angiogenesis_inhibitor | angiotensin_receptor_antagonist | anti-inflammatory | antiarrhythmic | antibiotic | anticonvulsant | antifungal | antihistamine | antimalarial | antioxidant | antiprotozoal | antiviral | apoptosis_stimulant | aromatase_inhibitor | atm_kinase_inhibitor | atp-sensitive_potassium_channel_antagonist | atp_synthase_inhibitor | atpase_inhibitor | atr_kinase_inhibitor | aurora_kinase_inhibitor | autotaxin_inhibitor | bacterial_30s_ribosomal_subunit_inhibitor | bacterial_50s_ribosomal_subunit_inhibitor | bacterial_antifolate | bacterial_cell_wall_synthesis_inhibitor | bacterial_dna_gyrase_inhibitor | bacterial_dna_inhibitor | bacterial_membrane_integrity_inhibitor | bcl_inhibitor | bcr-abl_inhibitor | benzodiazepine_receptor_agonist | beta_amyloid_inhibitor | bromodomain_inhibitor | btk_inhibitor | calcineurin_inhibitor | calcium_channel_blocker | cannabinoid_receptor_agonist | cannabinoid_receptor_antagonist | carbonic_anhydrase_inhibitor | casein_kinase_inhibitor | caspase_activator | catechol_o_methyltransferase_inhibitor | cc_chemokine_receptor_antagonist | cck_receptor_antagonist | cdk_inhibitor | chelating_agent | chk_inhibitor | chloride_channel_blocker | cholesterol_inhibitor | cholinergic_receptor_antagonist | coagulation_factor_inhibitor | corticosteroid_agonist | cyclooxygenase_inhibitor | cytochrome_p450_inhibitor | dihydrofolate_reductase_inhibitor | dipeptidyl_peptidase_inhibitor | diuretic | dna_alkylating_agent | dna_inhibitor | dopamine_receptor_agonist | dopamine_receptor_antagonist | egfr_inhibitor | elastase_inhibitor | erbb2_inhibitor | estrogen_receptor_agonist | estrogen_receptor_antagonist | faah_inhibitor | farnesyltransferase_inhibitor | fatty_acid_receptor_agonist | fgfr_inhibitor | flt3_inhibitor | focal_adhesion_kinase_inhibitor | free_radical_scavenger | fungal_squalene_epoxidase_inhibitor | gaba_receptor_agonist | gaba_receptor_antagonist | gamma_secretase_inhibitor | glucocorticoid_receptor_agonist | glutamate_inhibitor | glutamate_receptor_agonist | glutamate_receptor_antagonist | gonadotropin_receptor_agonist | gsk_inhibitor | hcv_inhibitor | hdac_inhibitor | histamine_receptor_agonist | histamine_receptor_antagonist | histone_lysine_demethylase_inhibitor | histone_lysine_methyltransferase_inhibitor | hiv_inhibitor | hmgcr_inhibitor | hsp_inhibitor | igf-1_inhibitor | ikk_inhibitor | imidazoline_receptor_agonist | immunosuppressant | insulin_secretagogue | insulin_sensitizer | integrin_inhibitor | jak_inhibitor | kit_inhibitor | laxative | leukotriene_inhibitor | leukotriene_receptor_antagonist | lipase_inhibitor | lipoxygenase_inhibitor | lxr_agonist | mdm_inhibitor | mek_inhibitor | membrane_integrity_inhibitor | mineralocorticoid_receptor_antagonist | monoacylglycerol_lipase_inhibitor | monoamine_oxidase_inhibitor | monopolar_spindle_1_kinase_inhibitor | mtor_inhibitor | mucolytic_agent | neuropeptide_receptor_antagonist | nfkb_inhibitor | nicotinic_receptor_agonist | nitric_oxide_donor | nitric_oxide_production_inhibitor | nitric_oxide_synthase_inhibitor | norepinephrine_reuptake_inhibitor | nrf2_activator | opioid_receptor_agonist | opioid_receptor_antagonist | orexin_receptor_antagonist | p38_mapk_inhibitor | p-glycoprotein_inhibitor | parp_inhibitor | pdgfr_inhibitor | pdk_inhibitor | phosphodiesterase_inhibitor | phospholipase_inhibitor | pi3k_inhibitor | pkc_inhibitor | potassium_channel_activator | potassium_channel_antagonist | ppar_receptor_agonist | ppar_receptor_antagonist | progesterone_receptor_agonist | progesterone_receptor_antagonist | prostaglandin_inhibitor | prostanoid_receptor_antagonist | proteasome_inhibitor | protein_kinase_inhibitor | protein_phosphatase_inhibitor | protein_synthesis_inhibitor | protein_tyrosine_kinase_inhibitor | radiopaque_medium | raf_inhibitor | ras_gtpase_inhibitor | retinoid_receptor_agonist | retinoid_receptor_antagonist | rho_associated_kinase_inhibitor | ribonucleoside_reductase_inhibitor | rna_polymerase_inhibitor | serotonin_receptor_agonist | serotonin_receptor_antagonist | serotonin_reuptake_inhibitor | sigma_receptor_agonist | sigma_receptor_antagonist | smoothened_receptor_antagonist | sodium_channel_inhibitor | sphingosine_receptor_agonist | src_inhibitor | steroid | syk_inhibitor | tachykinin_antagonist | tgf-beta_receptor_inhibitor | thrombin_inhibitor | thymidylate_synthase_inhibitor | tlr_agonist | tlr_antagonist | tnf_inhibitor | topoisomerase_inhibitor | transient_receptor_potential_channel_antagonist | tropomyosin_receptor_kinase_inhibitor | trpv_agonist | trpv_antagonist | tubulin_inhibitor | tyrosine_kinase_inhibitor | ubiquitin_specific_protease_inhibitor | vegfr_inhibitor | vitamin_b | vitamin_d_receptor_agonist | wnt_inhibitor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train_features | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| g-0 | -0.006007 | -0.011043 | 0.002654 | -0.017350 | -0.032366 | -0.010064 | -0.019147 | -0.013574 | -0.008087 | -0.027887 | -0.028450 | -0.007635 | -0.002248 | 0.022710 | 0.003916 | -0.014771 | -0.017003 | -0.011592 | -0.011624 | -0.008619 | -0.013938 | -0.009755 | -0.007138 | 0.014179 | -0.003685 | -0.015397 | -0.009751 | -0.002329 | -0.016863 | -0.010908 | -0.010899 | 0.012580 | -0.014953 | -0.000619 | 0.002627 | 0.029332 | 0.010438 | 0.009469 | -0.007565 | -0.007299 | -0.000104 | -0.001933 | -0.014768 | -0.020042 | -0.012677 | -0.015739 | 0.070041 | 0.022153 | 0.009043 | -0.016706 | -0.007592 | -0.001175 | 0.001298 | 0.000864 | -0.011517 | -0.011199 | -0.017088 | -0.008848 | -0.014467 | -0.003632 | -0.002006 | -0.015280 | -0.008177 | 0.069552 | -0.009738 | 0.031492 | -0.010838 | -0.006375 | -0.007103 | -0.001916 | -0.009177 | -0.026379 | -0.009223 | 0.010863 | -0.004465 | -0.003759 | 0.007684 | -0.009292 | -0.016815 | -0.025961 | 0.105539 | 0.000458 | NaN | -0.023860 | -0.002249 | -0.002917 | -0.000197 | -0.009565 | 0.025593 | 0.014150 | -0.006568 | -0.010430 | -0.007093 | 0.002963 | -0.015354 | -0.008336 | -0.020138 | -0.005130 | -0.012129 | -0.030768 | -0.018000 | 0.003261 | -0.000688 | 0.038110 | -0.013065 | -0.022240 | -0.005991 | -0.005533 | -0.009801 | -0.005052 | 0.031495 | -0.006387 | 0.025131 | -0.009119 | 0.002200 | 0.000154 | -0.010400 | -0.003786 | 0.018694 | 0.005750 | 0.008027 | -0.005902 | -0.001114 | -0.000832 | 0.002351 | 0.000453 | -0.003652 | 0.009228 | -0.009705 | -0.005198 | -0.002806 | -0.017863 | -0.005976 | -0.008115 | -0.007974 | -0.008845 | 0.574599 | -0.005016 | -0.006772 | 0.037484 | -0.008445 | -0.007915 | 0.048826 | -0.013460 | -0.012855 | -0.013734 | -0.005367 | -0.016962 | -0.016623 | 0.014554 | 0.001512 | -0.021281 | -0.012194 | 0.005372 | -0.012844 | -0.012448 | -0.007653 | -0.010691 | -0.005986 | -0.015290 | 0.001128 | -0.005639 | -0.016742 | 0.619957 | -0.001470 | -0.004304 | 0.045249 | 0.001659 | -0.009570 | 0.039064 | -0.002224 | 0.005266 | -0.007314 | 0.000109 | -0.001574 | 0.026736 | -0.018111 | -0.029857 | -0.006001 | -0.006902 | -0.008482 | -0.001496 | -0.014999 | -0.003266 | -0.001578 | 0.000948 | -0.004067 | -0.017122 | -0.009536 | -0.012718 | -0.002118 | -0.010934 | -0.004526 | 0.001958 | 0.079017 | -0.005711 | -0.006101 | -0.004017 | -0.011398 | -0.036784 | -0.012742 | -0.006444 | 0.013732 | -0.005891 | -0.005379 | -0.007795 |
| g-1 | -0.004971 | -0.005058 | 0.003298 | -0.006640 | 0.006940 | 0.011542 | -0.006746 | 0.005025 | -0.007046 | 0.014378 | 0.003500 | -0.005268 | 0.003408 | -0.001269 | -0.008160 | -0.008424 | 0.009997 | 0.010475 | 0.013808 | 0.011711 | -0.015517 | -0.001389 | -0.002025 | -0.000144 | 0.004147 | 0.007917 | -0.008611 | 0.011958 | -0.007803 | 0.000559 | -0.000117 | 0.013821 | 0.015191 | -0.010107 | 0.004277 | 0.008432 | 0.016728 | -0.003612 | 0.009251 | 0.001591 | 0.010757 | 0.011051 | 0.001474 | -0.013690 | -0.006266 | -0.011465 | -0.006251 | 0.016896 | -0.009972 | 0.009511 | 0.003239 | 0.022246 | -0.001477 | 0.009963 | -0.006635 | 0.008016 | 0.006686 | 0.005226 | 0.004458 | 0.010457 | -0.004068 | -0.005339 | -0.008499 | -0.035594 | -0.000111 | 0.020628 | -0.003312 | 0.005408 | 0.010254 | -0.000693 | 0.005829 | 0.005892 | 0.000838 | 0.000022 | 0.007991 | -0.001402 | 0.007339 | -0.007694 | 0.004613 | 0.009936 | -0.020410 | 0.005017 | NaN | -0.001771 | -0.008088 | -0.000365 | -0.002608 | 0.005022 | 0.009691 | -0.021895 | 0.003580 | 0.004127 | -0.003136 | 0.008988 | 0.012486 | 0.000983 | -0.006766 | -0.011890 | -0.001170 | 0.014126 | -0.008451 | 0.010943 | -0.009464 | -0.024481 | 0.013083 | 0.005482 | -0.005410 | -0.001865 | 0.003679 | -0.027312 | 0.037303 | -0.003506 | 0.011857 | -0.004981 | -0.011946 | 0.011079 | -0.004480 | 0.007774 | 0.002587 | -0.021667 | -0.003286 | -0.001172 | 0.003546 | 0.004495 | 0.004776 | -0.004912 | -0.000829 | -0.009825 | 0.000063 | 0.015330 | 0.002768 | 0.007142 | 0.000234 | -0.067842 | 0.015357 | -0.004983 | 0.072434 | 0.004073 | 0.008165 | 0.016325 | 0.003151 | 0.004329 | 0.017236 | -0.000322 | 0.017278 | -0.001560 | -0.002461 | -0.003473 | -0.011243 | -0.022096 | 0.008975 | 0.004201 | 0.014081 | -0.031484 | -0.003193 | -0.000809 | 0.010278 | -0.008250 | -0.006132 | 0.005865 | -0.016964 | -0.002998 | -0.007200 | 0.074115 | 0.005556 | -0.002053 | 0.020235 | 0.004990 | 0.002287 | -0.022345 | 0.001324 | 0.007632 | -0.007499 | 0.000841 | -0.003980 | 0.005209 | 0.008294 | 0.006419 | 0.002524 | -0.001208 | 0.005823 | -0.004382 | 0.006761 | 0.003074 | -0.007617 | -0.004366 | -0.018137 | 0.010511 | -0.001601 | -0.011751 | 0.003421 | -0.001214 | -0.004821 | 0.024805 | -0.010071 | 0.004387 | -0.006176 | 0.009056 | 0.004859 | -0.003588 | 0.008386 | -0.003083 | 0.001079 | 0.001452 | 0.000272 | 0.003958 |
| g-2 | -0.001984 | -0.002700 | -0.002011 | -0.002725 | -0.018601 | -0.002516 | -0.003492 | -0.016661 | 0.005478 | -0.007902 | -0.009866 | 0.000723 | 0.014898 | -0.005380 | 0.004487 | 0.002279 | 0.006405 | -0.008586 | 0.002340 | -0.000717 | 0.004462 | -0.000696 | 0.005656 | 0.004367 | 0.003903 | 0.000458 | 0.003210 | 0.009704 | -0.018881 | -0.012397 | 0.005049 | 0.020139 | 0.001241 | 0.007200 | 0.003864 | 0.000694 | 0.001253 | -0.013411 | -0.010020 | -0.001256 | -0.007652 | -0.007250 | 0.005467 | -0.001662 | 0.002890 | -0.012318 | 0.006732 | -0.008365 | 0.005849 | 0.008738 | 0.000941 | -0.016310 | -0.011463 | -0.000503 | -0.010653 | -0.006854 | -0.001443 | -0.002291 | 0.007369 | 0.021730 | 0.003636 | -0.004767 | -0.003055 | 0.011779 | 0.003084 | 0.005818 | 0.011438 | 0.002209 | 0.005201 | 0.001756 | 0.004897 | -0.002123 | -0.014008 | 0.001553 | -0.004498 | -0.017394 | 0.001250 | 0.010283 | -0.000852 | 0.002197 | 0.012135 | -0.005339 | NaN | -0.003528 | 0.000071 | -0.003731 | -0.004115 | 0.014173 | -0.007361 | -0.017285 | -0.001401 | 0.000592 | 0.007120 | 0.004944 | -0.000934 | -0.013478 | -0.011491 | 0.006265 | 0.003215 | -0.003509 | -0.014592 | -0.003834 | -0.010676 | -0.025808 | -0.007289 | -0.019047 | 0.011242 | 0.010451 | 0.012852 | -0.019581 | 0.047109 | 0.008958 | 0.001954 | -0.013559 | -0.010781 | -0.002994 | -0.004646 | 0.006841 | -0.011446 | -0.012246 | 0.015277 | 0.004341 | 0.010868 | -0.000864 | -0.005239 | -0.005052 | -0.000410 | -0.002996 | -0.003500 | -0.009756 | 0.001323 | -0.008469 | 0.000135 | 0.034078 | -0.006795 | 0.001093 | 0.160079 | -0.005429 | 0.005677 | 0.000574 | 0.001872 | 0.001265 | -0.015179 | -0.013231 | -0.001864 | -0.006688 | -0.009745 | 0.006145 | -0.002569 | -0.009652 | -0.006332 | 0.002083 | -0.001181 | 0.023541 | -0.004827 | 0.006440 | 0.006445 | 0.001690 | -0.003007 | -0.009205 | -0.013829 | 0.003328 | -0.001071 | 0.172686 | -0.002804 | -0.001614 | -0.003026 | -0.000128 | 0.009480 | -0.012333 | -0.007580 | 0.003469 | 0.000121 | -0.013257 | 0.011351 | 0.015291 | -0.009259 | 0.000517 | 0.007498 | -0.017686 | -0.009550 | -0.004268 | 0.004671 | -0.000375 | 0.005715 | 0.014923 | -0.003185 | 0.007105 | -0.024546 | 0.006135 | 0.004169 | -0.004312 | 0.010261 | -0.006626 | 0.020673 | -0.001101 | 0.006890 | 0.004934 | 0.006331 | 0.002272 | 0.014082 | 0.003939 | -0.000294 | -0.007587 | 0.015116 | 0.002855 |
| g-3 | -0.010818 | -0.000298 | -0.001878 | -0.008248 | -0.010287 | -0.013344 | -0.002372 | -0.003356 | 0.007711 | -0.013194 | -0.009678 | -0.007104 | -0.005937 | -0.008192 | -0.008471 | 0.007490 | -0.003519 | -0.014394 | -0.005415 | -0.006420 | 0.006974 | -0.008795 | -0.004658 | -0.013735 | -0.000176 | 0.000030 | -0.002300 | -0.002080 | -0.007759 | -0.007506 | -0.002052 | -0.011903 | -0.009633 | -0.004618 | 0.005548 | -0.011010 | -0.002641 | 0.003343 | 0.025518 | 0.002367 | -0.010244 | 0.004571 | -0.013080 | -0.016188 | -0.015562 | -0.010223 | -0.003134 | -0.008017 | 0.017224 | 0.005265 | -0.003857 | 0.061434 | 0.002349 | -0.012313 | -0.007181 | -0.001459 | -0.008541 | -0.000872 | -0.003974 | -0.001826 | 0.000525 | -0.001807 | -0.005524 | 0.193813 | -0.012970 | -0.000482 | -0.010481 | -0.000973 | -0.008992 | -0.004211 | -0.005966 | -0.002658 | 0.002688 | 0.004372 | -0.005252 | -0.008482 | -0.009826 | -0.014928 | -0.010154 | -0.015121 | -0.029975 | 0.004020 | NaN | -0.008076 | -0.012697 | -0.005579 | 0.005269 | 0.003606 | 0.002212 | 0.026593 | 0.017760 | -0.016396 | -0.006448 | -0.005431 | -0.003794 | -0.008273 | 0.009166 | 0.003009 | -0.003544 | -0.007322 | 0.007169 | 0.007534 | 0.007863 | 0.072007 | -0.014416 | -0.004965 | -0.000070 | -0.017794 | -0.011798 | 0.010577 | 0.158018 | -0.002351 | -0.011631 | 0.000508 | -0.009611 | -0.005850 | 0.024517 | -0.007695 | 0.007817 | 0.012486 | -0.009634 | -0.002920 | 0.002864 | -0.003173 | -0.009777 | -0.013019 | -0.007648 | 0.023308 | -0.003733 | 0.002902 | -0.003271 | -0.011199 | 0.002670 | -0.070563 | -0.007277 | -0.003807 | 0.137788 | 0.022886 | -0.007851 | -0.015845 | -0.010426 | -0.004168 | -0.013618 | -0.008482 | -0.013866 | -0.010702 | 0.005889 | 0.002256 | 0.000907 | 0.019580 | 0.001187 | -0.008585 | -0.007786 | -0.043752 | 0.010441 | -0.004011 | -0.011222 | 0.020039 | 0.005396 | -0.007969 | 0.002452 | -0.000679 | -0.000549 | 0.151840 | -0.003062 | 0.008740 | -0.021862 | -0.006335 | -0.010107 | 0.064489 | 0.000439 | -0.003800 | -0.005840 | 0.007660 | 0.015429 | -0.005410 | 0.002517 | -0.022740 | -0.003997 | -0.001001 | 0.000128 | 0.005002 | -0.020003 | 0.009392 | -0.000699 | -0.001398 | 0.013206 | -0.012025 | 0.011021 | -0.000785 | 0.002729 | -0.003951 | -0.001604 | -0.005745 | 0.053504 | 0.001953 | 0.016259 | -0.012067 | -0.016760 | -0.005062 | -0.003646 | -0.000998 | -0.000430 | -0.001705 | -0.006844 | 0.001685 |
| g-4 | 0.001699 | 0.000146 | 0.006671 | -0.009327 | -0.006801 | -0.010815 | -0.008187 | -0.000052 | -0.004351 | -0.008954 | -0.005163 | 0.004995 | -0.003318 | 0.006970 | -0.003411 | -0.019432 | -0.008528 | -0.003048 | 0.009659 | -0.002498 | 0.004149 | -0.002201 | -0.007368 | -0.009038 | -0.001514 | -0.006419 | -0.001715 | -0.000729 | -0.007977 | -0.001116 | -0.000140 | 0.001775 | 0.001044 | -0.000614 | 0.012755 | 0.001114 | -0.008779 | -0.001515 | -0.003892 | 0.002187 | -0.003707 | -0.006285 | -0.007292 | -0.016191 | 0.001486 | -0.010081 | 0.012164 | 0.004426 | -0.005580 | 0.000994 | -0.001040 | 0.015280 | -0.008510 | -0.004028 | -0.013234 | -0.002173 | -0.009890 | -0.003224 | -0.008533 | -0.007502 | 0.000712 | -0.008632 | -0.005578 | 0.060074 | -0.008421 | -0.000977 | 0.000716 | -0.004029 | 0.007298 | -0.003881 | -0.002241 | -0.016652 | -0.007272 | -0.006649 | -0.004053 | -0.001146 | 0.002280 | -0.001847 | -0.009193 | -0.009004 | -0.046754 | 0.015765 | NaN | 0.000442 | 0.005514 | 0.001587 | -0.003488 | -0.008473 | -0.004485 | 0.000124 | -0.005167 | -0.002415 | 0.001468 | -0.004130 | -0.005689 | -0.013148 | -0.001638 | -0.001274 | 0.000867 | -0.005679 | -0.000150 | 0.002944 | -0.006885 | 0.013226 | -0.007116 | -0.004235 | -0.008615 | -0.000634 | -0.006514 | 0.014467 | -0.000652 | 0.000183 | -0.011701 | 0.002696 | -0.008640 | -0.009952 | -0.011411 | -0.001419 | 0.008047 | -0.006798 | 0.001058 | -0.003776 | -0.002126 | -0.000649 | -0.000948 | 0.015583 | 0.002112 | 0.010900 | -0.009876 | -0.001074 | -0.001449 | 0.005300 | -0.002089 | -0.021603 | -0.001119 | 0.004271 | 0.363048 | 0.010109 | -0.003584 | 0.004797 | -0.000567 | 0.002181 | 0.002857 | -0.001924 | 0.000523 | -0.003970 | -0.018145 | 0.006562 | -0.001501 | -0.001125 | -0.003030 | 0.002565 | 0.001426 | -0.001734 | -0.010221 | -0.010585 | -0.001710 | -0.011697 | -0.008776 | 0.005405 | -0.011685 | -0.007102 | -0.004238 | 0.390954 | 0.001784 | -0.003742 | -0.027427 | -0.010344 | 0.000707 | 0.006592 | 0.004893 | 0.001119 | -0.005877 | -0.008468 | -0.005792 | 0.027096 | -0.008664 | -0.001131 | -0.004939 | 0.006875 | -0.003782 | -0.010466 | 0.007105 | 0.016357 | -0.007511 | -0.005295 | 0.004000 | -0.005440 | -0.028898 | -0.008914 | 0.003039 | 0.003910 | -0.006549 | -0.001476 | 0.066927 | -0.000752 | -0.000366 | 0.003050 | -0.006600 | -0.023082 | 0.000257 | 0.000043 | -0.002629 | 0.002383 | -0.002530 | 0.004698 |
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| c-95 | 0.007517 | 0.003339 | 0.003284 | 0.020767 | 0.029922 | 0.015643 | 0.018362 | 0.014709 | 0.001939 | 0.023496 | 0.030032 | -0.012176 | 0.002605 | -0.009362 | 0.004756 | 0.002653 | 0.013545 | 0.015001 | 0.016980 | 0.013004 | 0.009107 | 0.023183 | 0.001831 | 0.000639 | -0.002612 | 0.004694 | 0.007195 | 0.007758 | 0.014076 | 0.009715 | 0.008698 | -0.005249 | 0.015991 | 0.003680 | -0.001712 | -0.011943 | -0.025736 | -0.007942 | -0.015679 | 0.005845 | 0.009083 | 0.008705 | 0.004887 | 0.019727 | 0.012898 | 0.011695 | -0.015187 | -0.030151 | -0.003207 | 0.011295 | 0.003704 | 0.014979 | 0.009474 | 0.004534 | 0.028688 | 0.008258 | 0.012205 | 0.008745 | 0.007061 | 0.005795 | 0.001401 | 0.020428 | 0.004144 | 0.012750 | 0.009753 | -0.046756 | 0.013603 | 0.010959 | 0.010885 | 0.001875 | 0.013148 | 0.037323 | 0.013748 | -0.003808 | 0.010107 | 0.003406 | 0.008803 | 0.001055 | 0.016955 | 0.036460 | 0.016398 | 0.002706 | NaN | 0.015969 | 0.003414 | 0.006582 | -0.017739 | 0.008880 | 0.002875 | 0.016722 | 0.018291 | 0.008251 | 0.002104 | 0.015537 | 0.016428 | 0.011253 | 0.042221 | 0.004609 | 0.015704 | 0.030778 | 0.009630 | 0.008099 | 0.010521 | -0.061829 | 0.015458 | 0.027804 | 0.006616 | 0.006865 | 0.014757 | 0.014611 | -0.100470 | -0.006057 | -0.011542 | 0.015840 | 0.012022 | 0.007228 | 0.017159 | 0.010270 | 0.004574 | 0.023251 | -0.000201 | -0.000149 | 0.001636 | 0.004306 | 0.005517 | 0.005713 | 0.000224 | -0.020727 | 0.014593 | 0.011352 | 0.001606 | 0.013537 | 0.002146 | -0.079288 | 0.014823 | 0.013139 | -0.615680 | 0.004513 | 0.003133 | -0.028003 | 0.007812 | 0.007879 | -0.025512 | 0.013697 | 0.009036 | 0.003931 | 0.006331 | 0.001338 | -0.000579 | 0.014771 | 0.003697 | 0.029902 | 0.011538 | -0.050752 | 0.009317 | 0.009278 | 0.011308 | 0.009605 | 0.007736 | 0.019385 | 0.005572 | 0.003154 | 0.013812 | -0.665852 | 0.007350 | -0.009954 | -0.034001 | 0.005898 | 0.011467 | 0.003229 | 0.007055 | -0.009922 | -0.000188 | 0.004673 | -0.018746 | -0.006657 | 0.021650 | 0.031417 | 0.016552 | 0.007916 | 0.009110 | 0.009811 | 0.017650 | 0.017251 | -0.008711 | 0.003987 | -0.010308 | 0.008060 | 0.004281 | 0.007970 | 0.003389 | 0.009305 | 0.003191 | 0.011628 | -0.110170 | 0.008537 | 0.005534 | -0.004121 | 0.008528 | -0.060795 | -0.004988 | 0.004407 | -0.015039 | 0.012133 | 0.010144 | 0.009759 |
| c-96 | 0.008114 | 0.008086 | 0.011352 | 0.018879 | 0.030464 | 0.013364 | 0.012477 | 0.015054 | 0.007089 | 0.028466 | 0.031752 | -0.001818 | 0.003153 | -0.007917 | 0.009530 | 0.002171 | 0.013228 | 0.021132 | 0.012685 | 0.010743 | 0.009894 | 0.022972 | 0.001858 | 0.002194 | 0.000321 | 0.007238 | 0.007243 | 0.007831 | 0.013789 | 0.011340 | 0.011955 | 0.001832 | 0.012844 | 0.004998 | 0.004159 | -0.005610 | -0.040935 | -0.010177 | -0.019420 | 0.004621 | 0.010653 | 0.011687 | 0.009474 | 0.025132 | 0.015795 | 0.016320 | 0.000291 | -0.009132 | -0.010266 | 0.014723 | 0.005307 | 0.025392 | 0.009117 | 0.006592 | 0.028267 | 0.008906 | 0.012350 | 0.010057 | 0.015060 | 0.005785 | 0.000248 | 0.020317 | 0.003768 | -0.022021 | 0.010472 | -0.042301 | 0.012071 | 0.010580 | 0.016454 | 0.002187 | 0.018524 | 0.032382 | 0.018462 | -0.008901 | 0.006647 | 0.002918 | 0.003974 | 0.007041 | 0.016274 | 0.035619 | -0.025385 | 0.003515 | NaN | 0.017134 | 0.004766 | 0.006927 | -0.006842 | 0.004802 | -0.003606 | 0.015465 | -0.005079 | 0.007259 | 0.008104 | 0.015692 | 0.023054 | 0.012012 | 0.044542 | 0.006971 | 0.016093 | 0.034342 | 0.005367 | 0.012283 | 0.012372 | -0.016073 | 0.013469 | 0.030053 | 0.016925 | 0.007441 | 0.015639 | 0.035389 | -0.038122 | -0.012121 | -0.004134 | 0.012558 | 0.008524 | 0.006027 | 0.017305 | 0.010971 | -0.009906 | 0.028744 | 0.003050 | 0.002265 | 0.011590 | 0.004303 | 0.007700 | 0.002565 | 0.003557 | -0.050182 | 0.019782 | 0.005332 | 0.001753 | 0.018434 | 0.000237 | -0.084422 | 0.009458 | 0.011548 | -0.698655 | 0.003859 | 0.006998 | -0.012686 | 0.009158 | 0.006189 | -0.017901 | 0.009890 | 0.011028 | 0.009596 | 0.013930 | 0.001828 | 0.008063 | 0.020887 | 0.001658 | 0.025928 | 0.004975 | -0.054005 | 0.004042 | 0.011616 | 0.014128 | 0.016451 | 0.014275 | 0.019631 | 0.005892 | 0.007521 | 0.011919 | -0.758840 | 0.004788 | -0.004824 | -0.030375 | 0.008516 | 0.009239 | -0.021859 | 0.005523 | -0.000821 | -0.001971 | 0.011899 | -0.024506 | -0.013751 | 0.024110 | 0.034710 | 0.012035 | 0.010260 | 0.008742 | 0.006130 | 0.020502 | 0.012985 | -0.013004 | 0.008828 | -0.005017 | 0.010186 | 0.014925 | 0.008064 | 0.008077 | 0.011255 | 0.002159 | 0.012754 | -0.110952 | 0.006941 | 0.002928 | -0.002783 | 0.010353 | -0.089357 | 0.007660 | 0.002751 | 0.002217 | 0.009680 | 0.014185 | 0.010345 |
| c-97 | 0.007314 | 0.003998 | 0.009813 | 0.020665 | 0.027409 | 0.016308 | 0.015043 | 0.013543 | -0.005129 | 0.029761 | 0.033465 | -0.006606 | -0.000836 | -0.001754 | 0.010798 | 0.004516 | 0.010127 | 0.012893 | 0.016403 | 0.008586 | 0.007191 | 0.016303 | -0.000246 | -0.002845 | 0.002457 | 0.008768 | 0.002799 | 0.006018 | 0.015095 | 0.013827 | 0.012942 | -0.002358 | 0.011962 | -0.000661 | 0.000045 | -0.015369 | -0.023079 | -0.005038 | -0.004880 | 0.003439 | 0.012738 | 0.012553 | 0.006807 | 0.020725 | 0.011511 | 0.012601 | -0.019034 | -0.007961 | 0.000711 | 0.011405 | 0.005722 | 0.022415 | 0.012327 | 0.003003 | 0.026310 | 0.010240 | 0.008608 | 0.009084 | 0.010092 | 0.012786 | 0.002118 | 0.012649 | 0.007405 | -0.034060 | 0.007948 | -0.025879 | 0.008041 | 0.017164 | 0.013940 | 0.000528 | 0.011724 | 0.035664 | 0.018359 | -0.005519 | 0.009092 | 0.002092 | 0.011265 | 0.001716 | 0.017224 | 0.034134 | 0.034929 | 0.001914 | NaN | 0.021365 | 0.000477 | 0.010493 | -0.004378 | 0.006274 | 0.006299 | 0.019704 | 0.003979 | 0.006921 | 0.001747 | 0.017007 | 0.023847 | 0.005007 | 0.025712 | 0.001320 | 0.010296 | 0.030737 | 0.011005 | 0.012233 | 0.012997 | -0.009317 | 0.013294 | 0.026658 | 0.009549 | 0.010729 | 0.013095 | 0.029601 | -0.055393 | -0.002374 | 0.000028 | 0.017052 | -0.003502 | 0.020772 | 0.018400 | 0.007883 | -0.007839 | 0.030401 | 0.003105 | 0.001723 | 0.008092 | 0.009001 | 0.009484 | 0.006344 | -0.000430 | -0.021132 | 0.019916 | 0.015822 | 0.002756 | 0.014572 | 0.000901 | -0.059955 | 0.018008 | 0.011670 | -0.682858 | 0.008621 | 0.006978 | -0.022449 | 0.008841 | 0.004522 | -0.024380 | 0.005789 | 0.013328 | 0.003579 | 0.015578 | 0.008363 | 0.012911 | 0.022136 | 0.006246 | 0.028789 | 0.013878 | -0.033058 | 0.005800 | 0.011308 | 0.019038 | 0.015943 | 0.010827 | 0.017802 | 0.003116 | 0.008854 | 0.015757 | -0.739938 | 0.007995 | -0.004234 | -0.023920 | 0.007192 | 0.018102 | -0.000226 | -0.001533 | 0.003643 | 0.000474 | 0.010499 | -0.008006 | -0.014134 | 0.024344 | 0.025117 | 0.015668 | 0.011705 | 0.010599 | 0.008674 | 0.020508 | 0.009411 | -0.008624 | 0.006334 | -0.003341 | 0.009239 | 0.007072 | 0.006619 | 0.001968 | 0.014722 | 0.001481 | 0.007654 | -0.092896 | 0.005478 | 0.002459 | -0.000764 | 0.011836 | -0.118757 | 0.009115 | -0.000067 | 0.010918 | 0.008291 | 0.004069 | 0.009064 |
| c-98 | 0.011285 | 0.009887 | 0.011527 | 0.029033 | 0.036224 | 0.020604 | 0.019483 | 0.012947 | 0.005887 | 0.033896 | 0.040910 | -0.022793 | -0.002091 | -0.003445 | 0.011992 | 0.010154 | 0.015472 | 0.020886 | 0.008622 | 0.013036 | 0.011668 | 0.018540 | 0.004556 | -0.011252 | 0.002278 | 0.010501 | 0.008989 | 0.007058 | 0.024757 | 0.013628 | 0.013523 | 0.000193 | 0.015312 | 0.001957 | 0.003903 | -0.016955 | -0.047961 | -0.010410 | -0.039235 | 0.006052 | 0.015013 | 0.014006 | 0.016157 | 0.030377 | 0.017426 | 0.023079 | -0.045660 | -0.018578 | -0.031294 | 0.016710 | 0.009323 | 0.003303 | 0.005700 | 0.007090 | 0.028616 | 0.011136 | 0.009638 | 0.012027 | 0.018297 | 0.010616 | 0.003546 | 0.017399 | 0.005936 | -0.064453 | 0.012612 | -0.037854 | 0.013116 | 0.011846 | 0.015336 | 0.006933 | 0.009661 | 0.040488 | 0.016586 | -0.003808 | 0.007654 | 0.002697 | 0.007447 | 0.009123 | 0.021903 | 0.037373 | -0.017150 | 0.005128 | NaN | 0.024484 | 0.004058 | 0.007430 | -0.008224 | 0.008340 | -0.061016 | -0.088548 | -0.002834 | 0.010007 | 0.002573 | 0.018989 | 0.024869 | 0.015489 | 0.021477 | 0.012124 | 0.021716 | 0.042626 | 0.014039 | 0.008608 | 0.016895 | 0.019283 | 0.016652 | 0.032176 | 0.007429 | 0.007477 | 0.017492 | 0.037933 | -0.109561 | -0.011726 | -0.001089 | 0.009351 | 0.004323 | 0.012075 | 0.014809 | 0.004193 | -0.020141 | -0.089155 | -0.002179 | 0.005524 | 0.013935 | 0.011290 | 0.006542 | 0.003729 | -0.058108 | -0.017648 | 0.018792 | 0.010238 | 0.006768 | 0.023025 | 0.000387 | -0.095487 | 0.017801 | 0.015124 | -0.622139 | 0.004950 | 0.011183 | -0.021054 | 0.014659 | 0.004880 | -0.019179 | 0.014191 | 0.008734 | 0.008759 | 0.024454 | -0.008142 | 0.006299 | -0.108331 | -0.001714 | 0.035562 | 0.010375 | -0.056397 | -0.001773 | 0.014697 | 0.020085 | 0.014148 | 0.014666 | 0.017648 | 0.006913 | 0.012527 | 0.014788 | -0.672456 | 0.011744 | -0.000123 | -0.032054 | -0.006070 | 0.016297 | -0.118963 | 0.003577 | 0.002375 | 0.006545 | 0.005829 | -0.017005 | -0.006629 | 0.034002 | 0.033886 | 0.010135 | 0.010404 | 0.008154 | 0.010736 | 0.026731 | 0.010446 | -0.028932 | 0.010161 | -0.008060 | 0.012666 | 0.021582 | 0.010038 | 0.012850 | 0.011991 | 0.004060 | 0.015232 | -0.130699 | 0.005930 | 0.003016 | -0.000523 | 0.009669 | -0.031209 | 0.000522 | 0.003440 | -0.081973 | 0.007996 | 0.011470 | 0.015651 |
| c-99 | 0.003535 | 0.006934 | 0.013351 | 0.020932 | 0.029841 | 0.011156 | 0.011859 | 0.013246 | -0.001052 | 0.026708 | 0.024155 | -0.023855 | -0.005779 | -0.002550 | 0.011287 | 0.009312 | 0.019843 | 0.014350 | 0.009632 | 0.010598 | 0.006868 | 0.016768 | 0.001228 | -0.011034 | 0.003299 | 0.004455 | 0.009987 | 0.003903 | 0.016471 | 0.010231 | 0.007082 | -0.001457 | 0.015140 | 0.001381 | 0.004070 | -0.009799 | -0.048903 | -0.005929 | -0.008365 | 0.004489 | 0.010485 | 0.010057 | 0.012926 | 0.028959 | 0.013977 | 0.006923 | -0.033315 | -0.024340 | -0.002512 | 0.008939 | 0.004870 | 0.020340 | 0.006094 | 0.004532 | 0.019392 | 0.005341 | 0.011663 | 0.006423 | 0.011438 | 0.002589 | 0.002966 | 0.009199 | 0.003142 | -0.066441 | 0.010337 | -0.028616 | 0.016333 | 0.006774 | 0.009607 | 0.000715 | 0.010383 | 0.028229 | 0.020408 | -0.003289 | 0.005521 | -0.002440 | 0.008979 | 0.012292 | 0.019111 | 0.024159 | 0.023701 | 0.005751 | NaN | 0.013126 | -0.006031 | 0.006947 | -0.006131 | 0.009010 | 0.000281 | 0.012588 | -0.012120 | 0.009239 | -0.001001 | 0.007991 | 0.013775 | 0.008277 | 0.027328 | 0.006883 | 0.015196 | 0.025224 | 0.007702 | 0.010327 | 0.007524 | -0.064563 | 0.012060 | 0.017869 | 0.000933 | -0.000286 | 0.009419 | 0.022107 | -0.034459 | -0.005352 | -0.007368 | 0.009602 | 0.005589 | 0.008023 | 0.007528 | 0.007240 | -0.018569 | 0.026311 | 0.007918 | -0.001533 | 0.008350 | 0.006055 | 0.002281 | 0.004248 | -0.002785 | -0.003630 | 0.021641 | 0.003704 | 0.001018 | 0.016565 | 0.004116 | -0.075121 | 0.005382 | 0.009371 | -0.584899 | -0.001827 | 0.012278 | -0.014004 | 0.008016 | 0.003487 | -0.019407 | 0.007898 | 0.003097 | 0.006131 | 0.017311 | 0.005862 | 0.010052 | 0.014157 | 0.001791 | 0.015973 | 0.008189 | -0.044531 | -0.004918 | 0.010611 | 0.016567 | 0.006116 | 0.015470 | 0.012024 | 0.003829 | 0.011041 | 0.016800 | -0.633643 | 0.004546 | -0.001532 | -0.023724 | 0.001458 | 0.007954 | 0.019549 | -0.007533 | 0.005879 | 0.000961 | 0.009205 | 0.007409 | -0.020171 | 0.020644 | 0.025122 | 0.012384 | 0.005894 | 0.002176 | 0.014896 | 0.015172 | 0.006261 | -0.005816 | 0.009432 | -0.017110 | 0.003597 | 0.010319 | 0.004770 | 0.010319 | 0.009187 | -0.000584 | 0.007570 | -0.139686 | -0.000706 | 0.005663 | -0.005052 | 0.008486 | -0.013741 | 0.010302 | 0.000911 | 0.003492 | 0.002551 | 0.008584 | 0.004071 |
872 rows × 206 columns
Let's see what is the higher value (absolute) of correlation for target columns with every column from train set. Every column on chart is max correlation of current target column with all of columns from training set.
maxCol=lambda x: max(x.min(), x.max(), key=abs)
high_scores = correlation_matrix.apply(maxCol, axis=0).reset_index()
high_scores.columns = [
'column',
'best_correlation'
]
fig = px.bar(
high_scores,
x='column',
y="best_correlation",
orientation='v',
title='Best correlation with train columns for every target column',
width=1200,
height=800
)
fig.show()
Now let's see what columns from training set have the higher number of "high" correlations with target columns. Every row from chart means that column times has the best value of correlation with different target columns.
col_df = pd.DataFrame()
tr_cols = list()
tar_cols = list()
for col in correlation_matrix.columns:
tar_cols.append(col)
tr_cols.append(
correlation_matrix[col].abs().sort_values(ascending=False).reset_index()['train_features'].head(1).values[0]
)
col_df['column'] = tar_cols
col_df['train_best_column'] = tr_cols
total_scores = pd.merge(high_scores, col_df)
total_scores
| column | best_correlation | train_best_column | |
|---|---|---|---|
| 0 | 5-alpha_reductase_inhibitor | -0.033099 | g-591 |
| 1 | 11-beta-hsd1_inhibitor | -0.018874 | g-140 |
| 2 | acat_inhibitor | -0.020002 | g-350 |
| 3 | acetylcholine_receptor_agonist | -0.036279 | g-91 |
| 4 | acetylcholine_receptor_antagonist | 0.044712 | g-486 |
| ... | ... | ... | ... |
| 201 | ubiquitin_specific_protease_inhibitor | 0.019562 | g-18 |
| 202 | vegfr_inhibitor | -0.081973 | c-98 |
| 203 | vitamin_b | -0.035109 | g-356 |
| 204 | vitamin_d_receptor_agonist | 0.055290 | g-627 |
| 205 | wnt_inhibitor | -0.020348 | g-252 |
206 rows × 3 columns
count_features = total_scores['train_best_column'].value_counts().reset_index().sort_values('train_best_column')
count_features.columns = [
'column',
'count'
]
count_features = count_features.tail(33)
fig = px.bar(
count_features,
x='count',
y="column",
orientation='h',
title='Columns from training set with number of high correlations with target columns'
)
fig.show()
target_columns = train_target.columns.tolist()
target_columns.remove('sig_id')
for_analysis = [
target_columns[
np.random.randint(0, len(target_columns)-1)
] for i in range(5)
]
current_corr = correlation_matrix[for_analysis]
col_df = pd.DataFrame()
tr_first_cols = list()
tr_second_cols = list()
tar_cols = list()
for col in current_corr.columns:
tar_cols.append(col)
tr_first_cols.append(
current_corr[col].abs().sort_values(ascending=False).reset_index()['train_features'].head(2).values[0]
)
tr_second_cols.append(
current_corr[col].abs().sort_values(ascending=False).reset_index()['train_features'].head(2).values[1]
)
col_df['column'] = tar_cols
col_df['train_1_column'] = tr_first_cols
col_df['train_2_column'] = tr_second_cols
col_df
| column | train_1_column | train_2_column | |
|---|---|---|---|
| 0 | elastase_inhibitor | g-99 | g-5 |
| 1 | bacterial_cell_wall_synthesis_inhibitor | g-194 | g-322 |
| 2 | histone_lysine_methyltransferase_inhibitor | g-658 | g-661 |
| 3 | steroid | g-18 | g-698 |
| 4 | pkc_inhibitor | g-570 | g-763 |
Let's select some random target columns and see how they deal with pairs of the highly correlated features.
def plot_scatter(col_df, index):
analysis = pd.DataFrame()
analysis['color'] = train_target[col_df.iloc[index]['column']]
analysis['x'] = train_features[col_df.iloc[index]['train_1_column']]
analysis['y'] = train_features[col_df.iloc[index]['train_2_column']]
analysis.columns = [
'color',
col_df.iloc[index]['train_1_column'],
col_df.iloc[index]['train_2_column']
]
analysis['size'] = 1
analysis.loc[analysis['color'] == 1, 'size'] = 12
fig = px.scatter(
analysis,
x=col_df.iloc[index]['train_1_column'],
y=col_df.iloc[index]['train_2_column'],
color="color",
size='size',
title='Scatter plot for ' + col_df.iloc[index]['column']
)
fig.show()
plot_scatter(col_df, 0)
We can extract several group names from target column names. Looks like that last term in column name is definition of a group. Let's extact them and visualize groups with number of columns > 1.
last_term = dict()
for item in target_columns:
try:
last_term[item.split('_')[-1]] += 1
except:
last_term[item.split('_')[-1]] = 1
last_term = pd.DataFrame(last_term.items(), columns=['group', 'count'])
last_term = last_term.sort_values('count')
last_term = last_term[last_term['count']>1]
last_term['count'] = last_term['count'] * 100 / 206
fig = px.bar(
last_term,
x='count',
y="group",
orientation='h',
title='Groups in target columns (Percent from all target columns)',
height=500
)
fig.show()
Conclusion of basic EDA:
GENES = [g for g in train_features.columns if g.startswith("g-")]
print(f"Number of gene features: {len(GENES)}")
CELLS = [c for c in train_features.columns if c.startswith("c-")]
print(f"Number of cell features: {len(CELLS)}")
Number of gene features: 772 Number of cell features: 100
Now I check distributions of g- and c- of train and test set to see whether they are spicky or normally distributed.
gnum = train_features[GENES].shape[1]
graphs = []
for i in range(0, gnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=771:
break
graph = sns.distplot(train_features[GENES].values[:,item], ax=axs[k])
graph.set_title(f"g-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
cnum = train_features[CELLS].shape[1]
graphs = []
for i in range(0, cnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=100:
break
graph = sns.distplot(train_features[CELLS].values[:,item], ax=axs[k])
graph.set_title(f"c-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
gnum = test_features[GENES].shape[1]
graphs = []
for i in range(0, gnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=771:
break
graph = sns.distplot(test_features[GENES].values[:,item], ax=axs[k])
graph.set_title(f"g-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
cnum = test_features[CELLS].shape[1]
graphs = []
for i in range(0, cnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=100:
break
graph = sns.distplot(test_features[CELLS].values[:,item], ax=axs[k])
graph.set_title(f"c-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
From the plot I found that they are spiky distribution rather than normal distribution. Regardless of the train and test, they look be in the same shape.
It appears that the gene expression data and cell viability data can be controlled by the experimenter, so it is safe to assume that these data are independent of each other.
Also, since the shape of the distribution is close to normal distribution to begin with, I don't think there is much of a problem if it is forced to be transformed into a Gaussian distribution. Therefore I add RankGauss here and confirm the shape again here.
#RankGauss
for col in (GENES + CELLS):
transformer = QuantileTransformer(n_quantiles=100, random_state=0, output_distribution="normal")
vec_len = len(train_features[col].values)
vec_len_test = len(test_features[col].values)
raw_vec = train_features[col].values.reshape(vec_len, 1)
transformer.fit(raw_vec)
train_features[col] = transformer.transform(raw_vec).reshape(1, vec_len)[0]
test_features[col] = transformer.transform(test_features[col].values.reshape(vec_len_test, 1)).reshape(1, vec_len_test)[0]
gnum = train_features[GENES].shape[1]
graphs = []
for i in range(0, gnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=771:
break
graph = sns.distplot(train_features[GENES].values[:,item], ax=axs[k])
graph.set_title(f"g-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
cnum = train_features[CELLS].shape[1]
graphs = []
for i in range(0, cnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=100:
break
graph = sns.distplot(train_features[CELLS].values[:,item], ax=axs[k])
graph.set_title(f"c-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
gnum = test_features[GENES].shape[1]
graphs = []
for i in range(0, gnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=771:
break
graph = sns.distplot(test_features[GENES].values[:,item], ax=axs[k])
graph.set_title(f"g-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
cnum = test_features[CELLS].shape[1]
graphs = []
for i in range(0, cnum -1 , 7):
#for least display....
if i >= 3:
break
idxs = list(np.array([0, 1, 2, 3, 4, 5, 6]) + i)
fig, axs = plt.subplots(1, 7, sharey=True)
for k, item in enumerate(idxs):
if item >=100:
break
graph = sns.distplot(test_features[CELLS].values[:,item], ax=axs[k])
graph.set_title(f"c-{item}")
graphs.append(graph)
/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning) /Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
It appears that I have transformed the distribution of each data to resemble a normal distribution, as intended.
PCA is a linear transformation that projects the data into another space, where vectors of projections are defined by variance of the data. PCA results can be evaluated with reconstruction error and cumulative percent variance.
Since it's a high dimensional feature space, first we choose the optimal number of PCA.
for col in (GENES + CELLS):
transformer = QuantileTransformer(random_state=0, output_distribution="normal")
vec_len = len(train_features[col].values)
vec_len_test = len(test_features[col].values)
raw_vec = train_features[col].values.reshape(vec_len, 1)
transformer.fit(raw_vec)
train_features[col] = transformer.transform(raw_vec).reshape(1, vec_len)[0]
test_features[col] = transformer.transform(test_features[col].values.reshape(vec_len_test, 1)).reshape(1, vec_len_test)[0]
data = pd.concat([pd.DataFrame(train_features[GENES]), pd.DataFrame(test_features[GENES])])
pca = PCA().fit(data)
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (12,6)
fig, ax = plt.subplots()
xi = np.arange(1, 773, step=1)
y = np.cumsum(pca.explained_variance_ratio_)
plt.ylim(0.0,1.1)
plt.plot(xi, y, marker='o', linestyle='--', color='b')
plt.xlabel('Number of Components')
plt.xticks(np.arange(0, 750, step=50)) #change from 0-based array index to 1-based human-readable label
plt.ylabel('Cumulative variance (%)')
plt.title('The number of components needed to explain variance')
plt.axhline(y=0.95, color='r', linestyle='-')
plt.text(0.5, 0.85, '95% cut-off threshold', color = 'red', fontsize=16)
ax.grid(axis='x')
plt.show()
In this case, to get 95% of variance explained I need 600 principal components.
With number of pc decided, I am thinking about how to make use of the PCA set and did clustering to improve the CV score and Lb score of my NN model used to make multiclass prediction. I got inspired from the notebook posted on kaggle https://www.kaggle.com/namanj27/new-baseline-pytorch-moa?scriptVersionId=42917782. It provides the following ideas:
In the next report, I follow the idea of this notebook, and integrate it with the scaling process that I did just now. I added the idea of RankGauss to g- and c- columns for preprocessing, which processed the data to normal distribute-like data, and see it's effect to scores.
I also made the following changes based on this notebook after several trials (which are the strategies that I found most useful) and trained three models repectively to compare the results:
Doing feature Selection over GENES/CELLS columns respectively for each model
Train model with multiple seeds and average the predictions
Tune hyperparameter for each model with different folds
Combine 1-5 layers deep neural network and get predictors from public kernels for the resnet type model
Detail codes and result are in the second coding notebook.
REFERENCES
[1] https://clue.io/repurposing
[2] https://depmap.org/portal/download/Lamb
[4] https://www.kaggle.com/namanj27/new-baseline-pytorch-moa?scriptVersionId=42917782
[5] http://fastml.com/preparing-continuous-features-for-neural-networks-with-rankgauss/
[6] https://scrnaseq-course.cog.sanger.ac.uk/website/cleaning-the-expression-matrix.html
[7] J, Crawford ED, Peck D, Modell JW, Blat IC, Wrobel MJ, Lerner J, Brunet J-P, Subramanian A, Ross KN, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science. 2005;313(5795):1929–35.
[8] Corsello, S.M., Nagari, R.T., Spangler, R.D. et al. Discovering the anticancer potential of non-oncology drugs by systematic viability profiling. Nat Cancer 1, 235–248 (2020). https://doi.org/10.1038/s43018-019-0018-6
[9] Subramanian, A., Narayan, R., Corsello, S. M., Peck, D. D., Natoli, T. E., Lu, X., Gould, J., Davis, J. F., Tubelli, A. A., Asiedu, J. K., Lahr, D. L., Hirschman, J. E., Liu, Z., Donahue, M., Julian, B., Khan, M., Wadden, D., Smith, I. C., Lam, D., Liberzon, A., … Golub, T. R. (2017). A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles. Cell, 171(6), 1437–1452.e17. https://doi.org/10.1016/j.cell.2017.10.049
[10] Townes, F.W., Hicks, S.C., Aryee, M.J. et al. Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model. Genome Biol 20, 295 (2019). https://doi.org/10.1186/s13059-019-1861-6